MacBook Pro (13-inch, 2022)
Geekbench ML Score
5672
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 17 2025 06:58 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.45 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% |
3429
641.7 IPS |
|
|
Image Classification (F16)
|
100% |
3430
641.8 IPS |
|
|
Image Classification (I8)
|
99% |
3440
643.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1390
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1594
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22874
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
22555
27.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
22392
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1481
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2873
214.5 IPS |
|
|
Face Detection (F32)
|
100% |
8962
106.6 IPS |
|
|
Face Detection (F16)
|
98% |
7343
87.3 IPS |
|
|
Face Detection (I8)
|
97% |
10158
120.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16286
126.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17574
136.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11542
89.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40489
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47156
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47094
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7316
261.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10483
374.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7305
260.9 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1056
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
878
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
