MacBook Pro (16-inch, 2023)
Geekbench ML Score
3481
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 07:43 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
271.2 IPS |
|
|
Image Classification (F16)
|
100% |
1802
337.2 IPS |
|
|
Image Classification (I8)
|
99% |
1790
334.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
921
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
924
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6113
7.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
14332
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14233
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1486
110.9 IPS |
|
|
Object Detection (F16)
|
100% |
1978
147.6 IPS |
|
|
Object Detection (I8)
|
97% |
1490
111.2 IPS |
|
|
Face Detection (F32)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
4400
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4378
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5523
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8551
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8555
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16813
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26210
34.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26180
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3924
140.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4805
171.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4914
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3011
4.33 KIPS |
|
|
Text Classification (I8)
|
96% |
3021
4.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1100
20.3 IPS |
