MacBook Pro (13-inch, 2022)
Geekbench ML Score
3734
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 05 2025 06:13 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.28 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% |
1302
243.6 IPS |
|
|
Image Classification (F16)
|
100% |
2304
431.2 IPS |
|
|
Image Classification (I8)
|
99% |
2327
435.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
953
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5374
6.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
14077
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14150
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
2422
180.8 IPS |
|
|
Object Detection (I8)
|
97% |
1372
102.5 IPS |
|
|
Face Detection (F32)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
5575
66.3 IPS |
|
|
Face Detection (I8)
|
96% |
5695
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5417
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10628
82.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10638
82.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17367
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27384
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26264
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4153
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5205
185.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5283
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
2077
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3415
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1282
23.6 IPS |
