MacBook Pro (13-inch, 2022)
Geekbench ML Score
3776
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 02:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
1304
244.0 IPS |
|
|
Image Classification (F16)
|
100% |
2389
447.0 IPS |
|
|
Image Classification (I8)
|
99% |
2285
427.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
774
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
947
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6510
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14431
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14292
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1340
100.0 IPS |
|
|
Object Detection (F16)
|
100% |
2316
172.9 IPS |
|
|
Object Detection (I8)
|
97% |
1277
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (F16)
|
97% |
5885
70.0 IPS |
|
|
Face Detection (I8)
|
96% |
5539
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5519
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11196
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11092
86.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17487
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28106
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28475
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4159
148.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5206
185.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4966
177.3 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3401
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
