MacBook Pro (13-inch, 2022)
Geekbench ML Score
6088
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2025 06:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
2845
532.4 IPS |
|
|
Image Classification (F16)
|
100% |
3397
635.6 IPS |
|
|
Image Classification (I8)
|
99% |
3462
647.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1525
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1585
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1200
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23164
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24710
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
23928
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2864
213.9 IPS |
|
|
Object Detection (F16)
|
100% |
2926
218.4 IPS |
|
|
Object Detection (I8)
|
97% |
2856
213.2 IPS |
|
|
Face Detection (F32)
|
100% |
6956
82.7 IPS |
|
|
Face Detection (F16)
|
98% |
10231
121.6 IPS |
|
|
Face Detection (I8)
|
97% |
10191
121.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16512
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17395
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17064
132.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41075
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
46987
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46410
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9789
349.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9619
343.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9593
342.6 IPS |
|
|
Text Classification (F32)
|
100% |
2147
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3593
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3552
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1113
20.5 IPS |
