MacBook Pro (13-inch, 2022)
Geekbench ML Score
5750
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2026 10:31 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3475
650.2 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.1 IPS |
|
|
Image Classification (I8)
|
99% |
3440
643.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1523
25.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1369
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22672
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25056
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25478
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2644
197.4 IPS |
|
|
Object Detection (F16)
|
100% |
2899
216.4 IPS |
|
|
Object Detection (I8)
|
97% |
2708
202.2 IPS |
|
|
Face Detection (F32)
|
100% |
9376
111.5 IPS |
|
|
Face Detection (F16)
|
98% |
10816
128.6 IPS |
|
|
Face Detection (I8)
|
97% |
7554
89.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15642
121.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17383
134.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17406
135.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40388
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46761
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47339
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5760
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6811
243.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5941
212.2 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
2499
3.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1195
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1168
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
842
15.5 IPS |
