MacBook Pro (13-inch, 2022)
Geekbench ML Score
3761
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 07 2025 02:24 PM |
| Views | 4 |
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 | 3.48 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% |
1285
240.5 IPS |
|
|
Image Classification (F16)
|
100% |
2241
419.4 IPS |
|
|
Image Classification (I8)
|
99% |
2359
441.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6377
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
14261
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14254
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1361
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2027
151.3 IPS |
|
|
Object Detection (I8)
|
97% |
1346
100.5 IPS |
|
|
Face Detection (F32)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
5744
68.3 IPS |
|
|
Face Detection (I8)
|
97% |
5281
62.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5481
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10974
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10613
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17812
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28310
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28521
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4126
147.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5061
180.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5064
180.9 IPS |
|
|
Text Classification (F32)
|
100% |
2189
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3540
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3545
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1577
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
