MacBook Pro (13-inch, 2022)
Geekbench ML Score
6246
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 13 2025 04:55 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.30 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% |
3381
632.7 IPS |
|
|
Image Classification (F16)
|
100% |
3459
647.2 IPS |
|
|
Image Classification (I8)
|
99% |
3489
652.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1403
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1590
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23336
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25139
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25551
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2914
217.5 IPS |
|
|
Object Detection (F16)
|
100% |
2895
216.1 IPS |
|
|
Object Detection (I8)
|
97% |
2821
210.6 IPS |
|
|
Face Detection (F32)
|
100% |
9437
112.2 IPS |
|
|
Face Detection (F16)
|
98% |
10442
124.2 IPS |
|
|
Face Detection (I8)
|
97% |
10897
129.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16178
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17396
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
18456
143.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41708
54.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47475
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47762
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8364
298.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10638
379.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8898
317.8 IPS |
|
|
Text Classification (F32)
|
100% |
2165
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3548
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3556
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1145
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1156
21.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1054
19.4 IPS |
