MacBook Pro (13-inch, 2022)
Geekbench ML Score
5729
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 07:15 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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% |
3339
624.8 IPS |
|
|
Image Classification (F16)
|
100% |
3457
646.9 IPS |
|
|
Image Classification (I8)
|
99% |
3445
644.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1356
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1345
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1341
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23138
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25727
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25037
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2870
214.3 IPS |
|
|
Object Detection (F16)
|
100% |
2990
223.2 IPS |
|
|
Object Detection (I8)
|
97% |
1506
112.4 IPS |
|
|
Face Detection (F32)
|
100% |
9670
115.0 IPS |
|
|
Face Detection (F16)
|
98% |
10915
129.8 IPS |
|
|
Face Detection (I8)
|
97% |
10175
121.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13849
107.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17494
135.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17675
137.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40266
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47625
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47552
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6358
227.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5310
189.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4680
167.1 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3662
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3602
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1172
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1192
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1145
21.1 IPS |
