MacBook Pro (13-inch, 2022)
Geekbench ML Score
3670
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 09:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.14 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% |
1099
205.7 IPS |
|
|
Image Classification (F16)
|
100% |
2042
382.2 IPS |
|
|
Image Classification (I8)
|
99% |
2008
375.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1072
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6009
7.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
13757
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13589
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1388
103.6 IPS |
|
|
Object Detection (F16)
|
100% |
2438
182.0 IPS |
|
|
Object Detection (I8)
|
97% |
1292
96.5 IPS |
|
|
Face Detection (F32)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5563
66.1 IPS |
|
|
Face Detection (I8)
|
97% |
5107
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5491
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11452
88.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11299
87.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18076
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27239
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27119
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4262
152.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5121
182.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5141
183.6 IPS |
|
|
Text Classification (F32)
|
100% |
1990
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3331
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3353
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1344
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1220
22.4 IPS |
