MacBook Pro (13-inch, 2022)
Geekbench ML Score
5341
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 07:27 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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% |
2970
555.8 IPS |
|
|
Image Classification (F16)
|
100% |
3331
623.3 IPS |
|
|
Image Classification (I8)
|
99% |
3401
636.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1234
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1291
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1164
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22924
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25340
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
20402
24.7 IPS |
|
|
Object Detection (F32)
|
100% |
1126
84.1 IPS |
|
|
Object Detection (F16)
|
100% |
2885
215.3 IPS |
|
|
Object Detection (I8)
|
97% |
2765
206.4 IPS |
|
|
Face Detection (F32)
|
100% |
7917
94.1 IPS |
|
|
Face Detection (F16)
|
98% |
8511
101.2 IPS |
|
|
Face Detection (I8)
|
97% |
10225
121.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16415
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
12074
93.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8486
65.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40990
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47515
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47556
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9817
350.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7634
272.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7269
259.6 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3414
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3427
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1008
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
816
15.0 IPS |
