MacBook Pro (13-inch, 2022)
Geekbench ML Score
5230
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 10 2025 07:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.39 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% |
2865
536.0 IPS |
|
|
Image Classification (F16)
|
100% |
3356
628.0 IPS |
|
|
Image Classification (I8)
|
99% |
2878
538.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1206
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1434
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1304
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20403
24.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24837
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
20038
24.3 IPS |
|
|
Object Detection (F32)
|
100% |
1863
139.1 IPS |
|
|
Object Detection (F16)
|
100% |
2753
205.6 IPS |
|
|
Object Detection (I8)
|
97% |
2539
189.6 IPS |
|
|
Face Detection (F32)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (F16)
|
98% |
9989
118.8 IPS |
|
|
Face Detection (I8)
|
97% |
10049
119.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15101
117.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13954
108.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8741
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
31654
41.6 IPS |
|
|
Style Transfer (F16)
|
100% |
45312
59.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46800
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5760
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8480
302.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3185
113.8 IPS |
|
|
Text Classification (F32)
|
100% |
2129
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3551
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1048
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1180
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1016
18.7 IPS |
