MacBook Pro (13-inch, 2022)
Geekbench ML Score
6105
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2025 06:06 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.48 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% |
3448
645.2 IPS |
|
|
Image Classification (F16)
|
100% |
3465
648.3 IPS |
|
|
Image Classification (I8)
|
99% |
3503
655.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1302
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1448
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1403
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22581
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24287
29.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25163
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2666
199.1 IPS |
|
|
Object Detection (F16)
|
100% |
2940
219.5 IPS |
|
|
Object Detection (I8)
|
97% |
2718
202.9 IPS |
|
|
Face Detection (F32)
|
100% |
8590
102.1 IPS |
|
|
Face Detection (F16)
|
98% |
10603
126.1 IPS |
|
|
Face Detection (I8)
|
97% |
10374
123.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15894
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16912
131.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17685
137.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40882
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47317
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47611
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8653
309.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9374
334.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9939
355.0 IPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3555
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3517
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1097
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
