MacBook Pro (13-inch, 2022)
Geekbench ML Score
5585
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 05:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.27 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3440
643.7 IPS |
|
|
Image Classification (F16)
|
100% |
3477
650.6 IPS |
|
|
Image Classification (I8)
|
99% |
3472
649.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
882
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23056
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24036
29.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25424
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2585
193.0 IPS |
|
|
Object Detection (F16)
|
100% |
2646
197.5 IPS |
|
|
Object Detection (I8)
|
97% |
2782
207.7 IPS |
|
|
Face Detection (F32)
|
100% |
7630
90.7 IPS |
|
|
Face Detection (F16)
|
98% |
10313
122.6 IPS |
|
|
Face Detection (I8)
|
97% |
10095
120.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14425
111.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17781
137.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17349
134.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37888
49.8 IPS |
|
|
Style Transfer (F16)
|
100% |
44221
58.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46851
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8596
307.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7884
281.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7644
273.0 IPS |
|
|
Text Classification (F32)
|
100% |
1463
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3496
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
845
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
818
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
789
14.5 IPS |
