MacBook Pro (13-inch, 2022)
Geekbench ML Score
3810
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 10 2025 08:04 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
1346
251.9 IPS |
|
|
Image Classification (F16)
|
100% |
2401
449.3 IPS |
|
|
Image Classification (I8)
|
99% |
2290
428.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6261
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
12929
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14131
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1399
104.4 IPS |
|
|
Object Detection (F16)
|
100% |
2329
173.9 IPS |
|
|
Object Detection (I8)
|
97% |
1350
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
5978
71.1 IPS |
|
|
Face Detection (I8)
|
97% |
5942
70.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5668
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11736
91.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11359
88.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17673
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28300
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28244
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4267
152.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4895
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4917
175.6 IPS |
|
|
Text Classification (F32)
|
100% |
1954
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3331
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3349
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
