MacBook Pro (13-inch, 2022)
Geekbench ML Score
3795
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 14 2024 05:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1348
252.2 IPS |
|
|
Image Classification (F16)
|
100% |
2410
451.0 IPS |
|
|
Image Classification (I8)
|
99% |
2409
450.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1029
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1142
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6593
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14090
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13875
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (F16)
|
100% |
2077
155.1 IPS |
|
|
Object Detection (I8)
|
97% |
1327
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (F16)
|
97% |
5686
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5965
70.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5662
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11652
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11743
91.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17860
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28303
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27766
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4146
148.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5133
183.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4850
173.2 IPS |
|
|
Text Classification (F32)
|
100% |
1887
2.71 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1358
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1377
25.3 IPS |
