MacBook Pro (13-inch, 2022)
Geekbench ML Score
3704
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 30 2025 06:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1308
244.9 IPS |
|
|
Image Classification (F16)
|
100% |
2336
437.2 IPS |
|
|
Image Classification (I8)
|
99% |
2315
433.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1127
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6249
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
14127
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13840
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1387
103.5 IPS |
|
|
Object Detection (F16)
|
100% |
2445
182.5 IPS |
|
|
Object Detection (I8)
|
97% |
1387
103.6 IPS |
|
|
Face Detection (F32)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4809
57.2 IPS |
|
|
Face Detection (I8)
|
97% |
5669
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5209
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10028
77.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11058
85.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18045
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28388
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23398
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4090
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5218
186.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5299
189.2 IPS |
|
|
Text Classification (F32)
|
100% |
2189
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2725
3.92 KIPS |
|
|
Text Classification (I8)
|
96% |
2989
4.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1589
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
