MacBook Pro (13-inch, 2022)
Geekbench ML Score
5708
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 23 2025 07:48 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.18 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% |
3400
636.3 IPS |
|
|
Image Classification (F16)
|
100% |
3432
642.2 IPS |
|
|
Image Classification (I8)
|
99% |
2325
435.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1388
23.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1486
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23159
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25120
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25430
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2856
213.2 IPS |
|
|
Object Detection (F16)
|
100% |
2860
213.5 IPS |
|
|
Object Detection (I8)
|
97% |
2872
214.4 IPS |
|
|
Face Detection (F32)
|
100% |
7016
83.4 IPS |
|
|
Face Detection (F16)
|
98% |
7880
93.7 IPS |
|
|
Face Detection (I8)
|
97% |
7788
92.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16439
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17785
137.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17918
139.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41380
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
48013
63.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47773
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6953
248.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7393
264.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6182
220.8 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3535
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3471
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (I8)
|
99% |
939
17.3 IPS |
