MacBook Pro (13-inch, 2022)
Geekbench ML Score
5879
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 07:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
3266
611.2 IPS |
|
|
Image Classification (F16)
|
100% |
3315
620.3 IPS |
|
|
Image Classification (I8)
|
99% |
3411
638.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1538
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23305
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24563
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24743
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2836
211.7 IPS |
|
|
Object Detection (F16)
|
100% |
2853
213.0 IPS |
|
|
Object Detection (I8)
|
97% |
2843
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
8882
105.6 IPS |
|
|
Face Detection (F16)
|
98% |
10108
120.2 IPS |
|
|
Face Detection (I8)
|
97% |
10080
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15902
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17079
132.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16926
131.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37563
49.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47005
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
45112
59.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7934
283.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9202
328.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8372
299.0 IPS |
|
|
Text Classification (F32)
|
100% |
2041
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
875
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
