MacBook Pro (16-inch, 2023)
Geekbench ML Score
8222
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 07:45 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5724
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5849
1.09 KIPS |
|
|
Image Classification (I8)
|
99% |
5228
978.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2320
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2259
37.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2292
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
71644
86.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
75386
91.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
72659
88.0 IPS |
|
|
Object Detection (F32)
|
100% |
3315
247.5 IPS |
|
|
Object Detection (F16)
|
100% |
3841
286.8 IPS |
|
|
Object Detection (I8)
|
97% |
3649
272.4 IPS |
|
|
Face Detection (F32)
|
100% |
20537
244.2 IPS |
|
|
Face Detection (F16)
|
98% |
21241
252.6 IPS |
|
|
Face Detection (I8)
|
97% |
19978
237.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30159
233.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
31423
243.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
30681
237.9 IPS |
|
|
Style Transfer (F32)
|
100% |
107075
140.8 IPS |
|
|
Style Transfer (F16)
|
100% |
133302
175.3 IPS |
|
|
Style Transfer (I8)
|
100% |
106100
139.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12447
444.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12115
432.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11594
414.0 IPS |
|
|
Text Classification (F32)
|
100% |
529
760.4 IPS |
|
|
Text Classification (F16)
|
100% |
534
766.8 IPS |
|
|
Text Classification (I8)
|
96% |
534
767.0 IPS |
|
|
Machine Translation (F32)
|
100% |
944
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
864
15.9 IPS |
