MacBook Pro (13-inch, 2022)
Geekbench ML Score
5756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 04:11 PM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 3.48 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% |
3427
641.3 IPS |
|
|
Image Classification (F16)
|
100% |
3456
646.8 IPS |
|
|
Image Classification (I8)
|
99% |
3493
653.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1492
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1155
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23315
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24881
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24875
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2839
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
2943
219.7 IPS |
|
|
Object Detection (I8)
|
97% |
2860
213.5 IPS |
|
|
Face Detection (F32)
|
100% |
8849
105.2 IPS |
|
|
Face Detection (F16)
|
98% |
9058
107.7 IPS |
|
|
Face Detection (I8)
|
97% |
8619
102.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14768
114.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13191
102.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17213
133.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40020
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46956
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47529
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7000
250.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7400
264.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7414
264.8 IPS |
|
|
Text Classification (F32)
|
100% |
2190
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3554
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3546
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
890
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
941
17.3 IPS |
