MacBook Pro (13-inch, 2022)
Geekbench ML Score
5546
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 07:10 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.43 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% |
3050
570.7 IPS |
|
|
Image Classification (F16)
|
100% |
2297
429.9 IPS |
|
|
Image Classification (I8)
|
99% |
2612
488.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1268
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1268
21.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1026
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
21854
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24028
29.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24105
29.2 IPS |
|
|
Object Detection (F32)
|
100% |
2313
172.7 IPS |
|
|
Object Detection (F16)
|
100% |
2759
206.0 IPS |
|
|
Object Detection (I8)
|
97% |
2799
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
9454
112.4 IPS |
|
|
Face Detection (F16)
|
98% |
10845
129.0 IPS |
|
|
Face Detection (I8)
|
97% |
10784
128.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16110
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17246
133.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17844
138.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41310
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47589
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47481
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5716
204.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7119
254.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6656
237.7 IPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3535
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
953
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
946
17.4 IPS |
