MacBook Pro (13-inch, 2022)
Geekbench ML Score
5935
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 14 2025 06:29 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
3367
630.1 IPS |
|
|
Image Classification (F16)
|
100% |
3363
629.3 IPS |
|
|
Image Classification (I8)
|
99% |
3273
612.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1343
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1507
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22879
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24933
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24669
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2914
217.6 IPS |
|
|
Object Detection (I8)
|
97% |
2768
206.7 IPS |
|
|
Face Detection (F32)
|
100% |
8668
103.1 IPS |
|
|
Face Detection (F16)
|
98% |
9738
115.8 IPS |
|
|
Face Detection (I8)
|
97% |
9859
117.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15994
124.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17129
132.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17023
132.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40490
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
46582
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46588
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8061
287.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8423
300.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9436
337.0 IPS |
|
|
Text Classification (F32)
|
100% |
1865
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3100
4.46 KIPS |
|
|
Text Classification (I8)
|
96% |
3494
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1045
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1001
18.4 IPS |
