MacBook Pro (13-inch, 2022)
Geekbench ML Score
6127
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 06:26 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 | 3.18 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% |
2970
555.7 IPS |
|
|
Image Classification (F16)
|
100% |
3478
650.8 IPS |
|
|
Image Classification (I8)
|
99% |
3499
654.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1549
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1551
25.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1620
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23211
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25300
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25235
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.3 IPS |
|
|
Object Detection (F16)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (I8)
|
97% |
2154
160.8 IPS |
|
|
Face Detection (F32)
|
100% |
9406
111.8 IPS |
|
|
Face Detection (F16)
|
98% |
10819
128.6 IPS |
|
|
Face Detection (I8)
|
97% |
10929
129.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16102
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17817
138.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17524
135.9 IPS |
|
|
Style Transfer (F32)
|
100% |
36395
47.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47113
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47282
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8352
298.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7004
250.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10171
363.2 IPS |
|
|
Text Classification (F32)
|
100% |
2147
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3549
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3569
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1138
20.9 IPS |
