MacBook Pro (13-inch, 2022)
Geekbench ML Score
5615
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 08:49 PM |
| Views | 6 |
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 | 3.29 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% |
3314
620.2 IPS |
|
|
Image Classification (F16)
|
100% |
3410
638.1 IPS |
|
|
Image Classification (I8)
|
99% |
1526
285.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1002
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1496
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23770
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25781
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25233
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2819
210.5 IPS |
|
|
Object Detection (F16)
|
100% |
2843
212.2 IPS |
|
|
Object Detection (I8)
|
97% |
2808
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
9427
112.1 IPS |
|
|
Face Detection (F16)
|
98% |
10806
128.5 IPS |
|
|
Face Detection (I8)
|
97% |
6812
81.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15819
122.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17363
134.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17660
137.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40784
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47593
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47647
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7121
254.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7347
262.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7643
272.9 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3457
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3005
4.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
893
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
919
16.9 IPS |
