MacBook Pro (13-inch, 2022)
Geekbench ML Score
5722
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 04:39 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.30 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% |
3101
580.3 IPS |
|
|
Image Classification (F16)
|
100% |
3396
635.4 IPS |
|
|
Image Classification (I8)
|
99% |
3351
627.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1217
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1233
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22794
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25027
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25097
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
2918
217.9 IPS |
|
|
Object Detection (I8)
|
97% |
2841
212.1 IPS |
|
|
Face Detection (F32)
|
100% |
9311
110.7 IPS |
|
|
Face Detection (F16)
|
98% |
9798
116.5 IPS |
|
|
Face Detection (I8)
|
97% |
10584
125.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16030
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17194
133.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
18200
141.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41513
54.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47643
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47279
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7372
263.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6344
226.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6952
248.3 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3463
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3434
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
894
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
913
16.8 IPS |
