MacBook Pro (13-inch, 2022)
Geekbench ML Score
5600
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 14 2026 07:39 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 3.47 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% |
3388
634.1 IPS |
|
|
Image Classification (F16)
|
100% |
3375
631.5 IPS |
|
|
Image Classification (I8)
|
99% |
2849
533.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1357
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22888
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25191
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25140
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2726
203.5 IPS |
|
|
Object Detection (F16)
|
100% |
2770
206.8 IPS |
|
|
Object Detection (I8)
|
97% |
1756
131.1 IPS |
|
|
Face Detection (F32)
|
100% |
6986
83.1 IPS |
|
|
Face Detection (F16)
|
98% |
11019
131.0 IPS |
|
|
Face Detection (I8)
|
97% |
10988
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16153
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17766
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17308
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39941
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47619
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
44355
58.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5608
200.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6383
227.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5836
208.4 IPS |
|
|
Text Classification (F32)
|
100% |
2095
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3436
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3550
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1067
19.6 IPS |
