MacBook Pro (13-inch, 2022)
Geekbench ML Score
3229
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:32 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 2.34 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% |
532
99.5 IPS |
|
|
Image Classification (F16)
|
100% |
2053
384.2 IPS |
|
|
Image Classification (I8)
|
99% |
2127
398.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
727
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
856
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5403
6.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
12687
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10176
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1948
145.5 IPS |
|
|
Object Detection (I8)
|
97% |
1127
84.1 IPS |
|
|
Face Detection (F32)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
4496
53.5 IPS |
|
|
Face Detection (I8)
|
97% |
5124
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4926
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10319
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8557
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14174
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27255
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24946
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3881
138.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4381
156.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3836
137.0 IPS |
|
|
Text Classification (F32)
|
100% |
1981
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3247
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3337
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1245
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1589
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1272
23.4 IPS |
