MacBook Pro (13-inch, 2022)
Geekbench ML Score
5649
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 12:43 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
3414
638.8 IPS |
|
|
Image Classification (F16)
|
100% |
3449
645.5 IPS |
|
|
Image Classification (I8)
|
99% |
3415
639.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1472
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1436
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23024
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25636
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23375
28.3 IPS |
|
|
Object Detection (F32)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
97% |
2768
206.6 IPS |
|
|
Face Detection (F32)
|
100% |
7194
85.5 IPS |
|
|
Face Detection (F16)
|
98% |
5315
63.2 IPS |
|
|
Face Detection (I8)
|
97% |
10713
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16133
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17656
136.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
18131
140.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40988
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47957
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
32540
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6984
249.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10445
373.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7689
274.6 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3290
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3342
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
874
16.1 IPS |
