MacBook Pro (13-inch, 2022)
Geekbench ML Score
5255
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 04:30 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.29 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% |
2658
497.5 IPS |
|
|
Image Classification (F16)
|
100% |
3441
643.9 IPS |
|
|
Image Classification (I8)
|
99% |
3501
655.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1252
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1242
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23168
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25259
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25235
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
2866
214.0 IPS |
|
|
Object Detection (I8)
|
97% |
2735
204.2 IPS |
|
|
Face Detection (F32)
|
100% |
7545
89.7 IPS |
|
|
Face Detection (F16)
|
98% |
7725
91.8 IPS |
|
|
Face Detection (I8)
|
97% |
10701
127.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16451
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17643
136.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
13099
101.6 IPS |
|
|
Style Transfer (F32)
|
100% |
38916
51.2 IPS |
|
|
Style Transfer (F16)
|
100% |
43969
57.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47485
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8940
319.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8949
319.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7481
267.2 IPS |
|
|
Text Classification (F32)
|
100% |
1743
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
2961
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3409
4.90 KIPS |
|
|
Machine Translation (F32)
|
0% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
0% |
653
12.0 IPS |
|
|
Machine Translation (I8)
|
0% |
667
12.3 IPS |
