MacBook Pro (16-inch, 2021)
Geekbench ML Score
8387
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 01:53 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4629
866.2 IPS |
|
|
Image Classification (F16)
|
100% |
6775
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7168
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1571
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1434
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1443
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
51964
62.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
61017
73.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63118
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
3419
255.2 IPS |
|
|
Object Detection (F16)
|
100% |
4480
334.4 IPS |
|
|
Object Detection (I8)
|
97% |
3119
232.8 IPS |
|
|
Face Detection (F32)
|
100% |
17096
203.3 IPS |
|
|
Face Detection (F16)
|
97% |
20007
237.9 IPS |
|
|
Face Detection (I8)
|
96% |
20845
247.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24632
191.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35631
276.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
35474
275.1 IPS |
|
|
Style Transfer (F32)
|
100% |
79264
104.3 IPS |
|
|
Style Transfer (F16)
|
100% |
112279
147.7 IPS |
|
|
Style Transfer (I8)
|
100% |
117649
154.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11527
411.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17150
612.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16805
600.2 IPS |
|
|
Text Classification (F32)
|
100% |
385
552.8 IPS |
|
|
Text Classification (F16)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (I8)
|
96% |
1894
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
666
12.3 IPS |
