MacBook Pro (13-inch, 2022)
Geekbench ML Score
3770
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 08:05 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.30 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% |
1266
236.9 IPS |
|
|
Image Classification (F16)
|
100% |
2305
431.3 IPS |
|
|
Image Classification (I8)
|
99% |
2300
430.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6289
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13838
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13999
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
2491
186.0 IPS |
|
|
Object Detection (I8)
|
97% |
1429
106.7 IPS |
|
|
Face Detection (F32)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5799
68.9 IPS |
|
|
Face Detection (I8)
|
97% |
5024
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5421
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11328
87.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11165
86.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17899
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26584
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27404
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4124
147.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4917
175.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4919
175.7 IPS |
|
|
Text Classification (F32)
|
100% |
1944
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3366
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3369
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
