MacBook Pro (13-inch, 2022)
Geekbench ML Score
5365
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 05 2025 06:20 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
3155
590.4 IPS |
|
|
Image Classification (F16)
|
100% |
3251
608.3 IPS |
|
|
Image Classification (I8)
|
99% |
3385
633.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1074
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12701
15.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24129
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25158
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2753
205.5 IPS |
|
|
Object Detection (F16)
|
100% |
2392
178.6 IPS |
|
|
Object Detection (I8)
|
97% |
1634
122.0 IPS |
|
|
Face Detection (F32)
|
100% |
9339
111.0 IPS |
|
|
Face Detection (F16)
|
98% |
10699
127.2 IPS |
|
|
Face Detection (I8)
|
97% |
10623
126.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10365
80.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8454
65.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17891
138.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40631
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47532
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
40536
53.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9859
352.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7458
266.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7425
265.2 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3443
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
995
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
786
14.5 IPS |
