MacBook Pro (13-inch, 2022)
Geekbench ML Score
3735
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 07:29 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.18 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% |
1343
251.3 IPS |
|
|
Image Classification (F16)
|
100% |
2494
466.7 IPS |
|
|
Image Classification (I8)
|
99% |
2349
439.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1058
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6514
7.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
14496
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14490
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1387
103.6 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.8 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
5604
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5376
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5300
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10811
83.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9938
77.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17420
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22801
30.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27427
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4045
144.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5269
188.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5185
185.2 IPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1625
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
