MacBook Pro (13-inch, 2022)
Geekbench ML Score
5746
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 06 2025 05:36 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 3.46 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% |
2747
514.0 IPS |
|
|
Image Classification (F16)
|
100% |
3491
653.3 IPS |
|
|
Image Classification (I8)
|
99% |
3385
633.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1548
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1547
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22426
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25400
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25523
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2736
204.3 IPS |
|
|
Object Detection (F16)
|
100% |
2217
165.5 IPS |
|
|
Object Detection (I8)
|
97% |
2685
200.5 IPS |
|
|
Face Detection (F32)
|
100% |
8744
104.0 IPS |
|
|
Face Detection (F16)
|
98% |
7200
85.6 IPS |
|
|
Face Detection (I8)
|
97% |
9677
115.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16223
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17777
137.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
15811
122.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40297
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47369
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47655
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5030
179.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10304
368.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8902
317.9 IPS |
|
|
Text Classification (F32)
|
100% |
1966
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
2849
4.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3099
4.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1031
19.0 IPS |
