MacBook Pro (13-inch, 2022)
Geekbench ML Score
6160
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 24 2025 06:31 PM |
| Views | 8 |
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% |
3153
590.1 IPS |
|
|
Image Classification (F16)
|
100% |
3203
599.3 IPS |
|
|
Image Classification (I8)
|
99% |
3488
652.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1613
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1573
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23559
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24832
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25663
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (I8)
|
97% |
2824
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
9288
110.4 IPS |
|
|
Face Detection (F16)
|
98% |
10107
120.2 IPS |
|
|
Face Detection (I8)
|
97% |
10746
127.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16083
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17429
135.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
16741
129.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41463
54.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46439
61.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47414
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10340
369.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10093
360.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8859
316.4 IPS |
|
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3337
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1062
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
