MacBook Pro (13-inch, 2022)
Geekbench ML Score
5697
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 10 2025 05:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.16 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% |
3481
651.3 IPS |
|
|
Image Classification (F16)
|
100% |
3582
670.3 IPS |
|
|
Image Classification (I8)
|
99% |
3534
661.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
559
9.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
1384
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23428
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25557
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25404
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2745
204.9 IPS |
|
|
Object Detection (F16)
|
100% |
2930
218.7 IPS |
|
|
Object Detection (I8)
|
97% |
2804
209.3 IPS |
|
|
Face Detection (F32)
|
100% |
9056
107.7 IPS |
|
|
Face Detection (F16)
|
98% |
8362
99.4 IPS |
|
|
Face Detection (I8)
|
97% |
9209
109.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16562
128.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14984
116.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17814
138.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39804
52.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44219
58.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46968
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9321
332.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5868
209.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6247
223.1 IPS |
|
|
Text Classification (F32)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3496
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
979
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1127
20.7 IPS |
