MacBook Pro (13-inch, 2022)
Geekbench ML Score
3788
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 30 2025 06:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.32 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% |
1291
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
2379
445.2 IPS |
|
|
Image Classification (I8)
|
99% |
2345
438.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
925
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
888
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6375
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
14478
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14197
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1456
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
2453
183.2 IPS |
|
|
Object Detection (I8)
|
97% |
1466
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
3067
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5839
69.4 IPS |
|
|
Face Detection (I8)
|
96% |
5477
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5389
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11111
86.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11159
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18299
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28149
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28502
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4082
145.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5141
183.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5183
185.1 IPS |
|
|
Text Classification (F32)
|
100% |
2132
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3307
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3350
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1684
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1371
25.2 IPS |
