MacBook Pro (13-inch, 2022)
Geekbench ML Score
5956
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 08:17 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3450
645.7 IPS |
|
|
Image Classification (F16)
|
100% |
3444
644.4 IPS |
|
|
Image Classification (I8)
|
99% |
3476
650.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1461
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1459
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23188
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25231
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25483
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2815
210.2 IPS |
|
|
Object Detection (F16)
|
100% |
2882
215.1 IPS |
|
|
Object Detection (I8)
|
97% |
2787
208.1 IPS |
|
|
Face Detection (F32)
|
100% |
9416
112.0 IPS |
|
|
Face Detection (F16)
|
98% |
10748
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10849
129.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16303
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17504
135.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17554
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40996
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47755
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47733
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8269
295.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7417
264.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7580
270.7 IPS |
|
|
Text Classification (F32)
|
100% |
2134
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3446
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
976
18.0 IPS |
|
|
Machine Translation (I8)
|
99% |
879
16.2 IPS |
