MacBook Pro (13-inch, 2022)
Geekbench ML Score
3799
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 26 2025 06:37 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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 | 3.30 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% |
1273
238.2 IPS |
|
|
Image Classification (F16)
|
100% |
2384
446.0 IPS |
|
|
Image Classification (I8)
|
99% |
2367
442.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1009
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6208
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
14128
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12466
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1409
105.2 IPS |
|
|
Object Detection (F16)
|
100% |
2415
180.3 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.2 IPS |
|
|
Face Detection (F32)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
5544
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5565
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5293
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11049
85.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10970
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17762
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27795
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26901
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4144
148.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5226
186.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5288
188.8 IPS |
|
|
Text Classification (F32)
|
100% |
2194
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3519
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
