MacBook Pro (13-inch, 2022)
Geekbench ML Score
6135
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 07:19 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.30 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% |
3455
646.4 IPS |
|
|
Image Classification (F16)
|
100% |
3509
656.6 IPS |
|
|
Image Classification (I8)
|
99% |
3433
642.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1426
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1283
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22797
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25508
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25516
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2834
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
2896
216.2 IPS |
|
|
Object Detection (I8)
|
97% |
2829
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
8954
106.5 IPS |
|
|
Face Detection (F16)
|
98% |
10279
122.2 IPS |
|
|
Face Detection (I8)
|
97% |
10285
122.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16613
128.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17408
135.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17482
135.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40763
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
45953
60.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47245
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8607
307.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10265
366.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9395
335.5 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3575
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3578
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1043
19.2 IPS |
