MacBook Pro (13-inch, 2022)
Geekbench ML Score
6063
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 06 2026 07:01 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
3379
632.3 IPS |
|
|
Image Classification (F16)
|
100% |
3401
636.5 IPS |
|
|
Image Classification (I8)
|
99% |
3482
651.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1443
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1327
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23508
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24776
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25145
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2756
205.7 IPS |
|
|
Object Detection (F16)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2815
210.1 IPS |
|
|
Face Detection (F32)
|
100% |
9278
110.3 IPS |
|
|
Face Detection (F16)
|
98% |
10914
129.8 IPS |
|
|
Face Detection (I8)
|
97% |
11046
131.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16068
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17324
134.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18314
142.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40906
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47965
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47878
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8054
287.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8469
302.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7589
271.0 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3466
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3421
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1074
19.8 IPS |
