MacBook Pro (13-inch, 2022)
Geekbench ML Score
3860
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2025 07:39 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.47 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% |
1393
260.7 IPS |
|
|
Image Classification (F16)
|
100% |
2366
442.8 IPS |
|
|
Image Classification (I8)
|
99% |
2405
450.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1152
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1092
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6636
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14342
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14178
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
2486
185.6 IPS |
|
|
Object Detection (I8)
|
97% |
1463
109.2 IPS |
|
|
Face Detection (F32)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (F16)
|
97% |
5940
70.6 IPS |
|
|
Face Detection (I8)
|
97% |
5710
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5583
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11394
88.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11567
89.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18211
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27825
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25850
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4180
149.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5027
179.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5085
181.6 IPS |
|
|
Text Classification (F32)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2954
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3353
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1286
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1606
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1370
25.2 IPS |
