MacBook Pro (13-inch, 2022)
Geekbench ML Score
5610
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 16 2025 06:06 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.29 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% |
3115
583.0 IPS |
|
|
Image Classification (F16)
|
100% |
3393
634.9 IPS |
|
|
Image Classification (I8)
|
99% |
3463
647.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1237
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22705
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25747
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25568
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2082
155.4 IPS |
|
|
Object Detection (F16)
|
100% |
2651
197.9 IPS |
|
|
Object Detection (I8)
|
97% |
2490
185.9 IPS |
|
|
Face Detection (F32)
|
100% |
8692
103.3 IPS |
|
|
Face Detection (F16)
|
98% |
10225
121.6 IPS |
|
|
Face Detection (I8)
|
97% |
10396
123.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16186
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18250
141.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17731
137.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40751
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47639
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47591
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7197
257.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7308
261.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7875
281.2 IPS |
|
|
Text Classification (F32)
|
100% |
2095
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3475
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3472
4.99 KIPS |
|
|
Machine Translation (F32)
|
0% |
709
13.0 IPS |
|
|
Machine Translation (F16)
|
0% |
746
13.7 IPS |
|
|
Machine Translation (I8)
|
0% |
705
13.0 IPS |
