MacBook Pro (13-inch, 2022)
Geekbench ML Score
3708
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 15 2025 06:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 2.74 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% |
1233
230.8 IPS |
|
|
Image Classification (F16)
|
100% |
2379
445.2 IPS |
|
|
Image Classification (I8)
|
99% |
2402
449.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
970
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6495
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14380
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14483
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1351
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
1970
147.1 IPS |
|
|
Object Detection (I8)
|
97% |
1103
82.3 IPS |
|
|
Face Detection (F32)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5233
62.2 IPS |
|
|
Face Detection (I8)
|
97% |
5663
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5421
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10722
83.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10832
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17842
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
27715
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27580
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4129
147.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5262
187.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5222
186.5 IPS |
|
|
Text Classification (F32)
|
100% |
2044
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3468
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3526
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1357
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1338
24.6 IPS |
