MacBook Pro (13-inch, 2022)
Geekbench ML Score
5652
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 18 2025 07:54 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3364
629.6 IPS |
|
|
Image Classification (F16)
|
100% |
3420
639.9 IPS |
|
|
Image Classification (I8)
|
99% |
3384
633.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1316
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1358
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22543
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24555
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24663
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2866
213.9 IPS |
|
|
Object Detection (F16)
|
100% |
2875
214.7 IPS |
|
|
Object Detection (I8)
|
97% |
2872
214.4 IPS |
|
|
Face Detection (F32)
|
100% |
8995
106.9 IPS |
|
|
Face Detection (F16)
|
98% |
10170
120.9 IPS |
|
|
Face Detection (I8)
|
97% |
10130
120.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15732
122.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17035
132.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
16938
131.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41081
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
46965
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46699
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6961
248.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5847
208.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7259
259.2 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3470
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
773
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (I8)
|
99% |
768
14.1 IPS |
