MacBook Pro (13-inch, 2022)
Geekbench ML Score
5019
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 07 2024 06:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3428
641.4 IPS |
|
|
Image Classification (F16)
|
100% |
3423
640.5 IPS |
|
|
Image Classification (I8)
|
99% |
3123
584.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1510
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23482
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24978
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24364
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2859
213.5 IPS |
|
|
Object Detection (F16)
|
100% |
2861
213.6 IPS |
|
|
Object Detection (I8)
|
97% |
2664
198.9 IPS |
|
|
Face Detection (F32)
|
100% |
9333
111.0 IPS |
|
|
Face Detection (F16)
|
98% |
10839
128.9 IPS |
|
|
Face Detection (I8)
|
97% |
10329
122.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16519
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17524
135.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
16297
126.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40601
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44713
58.8 IPS |
|
|
Style Transfer (I8)
|
100% |
43956
57.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9471
338.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8413
300.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8033
286.9 IPS |
|
|
Text Classification (F32)
|
100% |
500
718.4 IPS |
|
|
Text Classification (F16)
|
100% |
561
806.7 IPS |
|
|
Text Classification (I8)
|
96% |
582
836.9 IPS |
|
|
Machine Translation (F32)
|
100% |
894
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
809
14.9 IPS |
