MacBook Pro (13-inch, 2022)
Geekbench ML Score
6093
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 12 2025 06:24 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.46 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% |
3225
603.6 IPS |
|
|
Image Classification (F16)
|
100% |
3388
634.0 IPS |
|
|
Image Classification (I8)
|
99% |
3399
636.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1422
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1493
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23060
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25465
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25012
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2837
211.8 IPS |
|
|
Object Detection (F16)
|
100% |
2934
219.1 IPS |
|
|
Object Detection (I8)
|
97% |
2795
208.7 IPS |
|
|
Face Detection (F32)
|
100% |
8622
102.5 IPS |
|
|
Face Detection (F16)
|
98% |
9361
111.3 IPS |
|
|
Face Detection (I8)
|
97% |
9317
110.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16184
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17395
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17422
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40458
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47630
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47874
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7989
285.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10267
366.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9426
336.6 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3573
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3563
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1106
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1105
20.3 IPS |
