MacBook Pro (13-inch, 2022)
Geekbench ML Score
6008
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 05:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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% |
3288
615.3 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.0 IPS |
|
|
Image Classification (I8)
|
99% |
3443
644.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1584
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1571
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23056
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25224
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25130
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2687
200.6 IPS |
|
|
Object Detection (F16)
|
100% |
2850
212.8 IPS |
|
|
Object Detection (I8)
|
97% |
2750
205.3 IPS |
|
|
Face Detection (F32)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (F16)
|
98% |
9700
115.3 IPS |
|
|
Face Detection (I8)
|
97% |
9147
108.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15970
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17313
134.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17614
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
39471
51.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47354
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47441
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9067
323.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10015
357.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8126
290.2 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
2994
4.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1050
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1022
18.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
