MacBook Pro (13-inch, 2022)
Geekbench ML Score
5306
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 07:09 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 3.21 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% |
3421
640.1 IPS |
|
|
Image Classification (F16)
|
100% |
3468
648.9 IPS |
|
|
Image Classification (I8)
|
99% |
3474
650.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1297
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1297
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23291
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25260
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
21881
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
1161
86.7 IPS |
|
|
Object Detection (F16)
|
100% |
2164
161.5 IPS |
|
|
Object Detection (I8)
|
97% |
2711
202.4 IPS |
|
|
Face Detection (F32)
|
100% |
9091
108.1 IPS |
|
|
Face Detection (F16)
|
98% |
9976
118.6 IPS |
|
|
Face Detection (I8)
|
97% |
7583
90.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16464
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17833
138.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17973
139.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34652
45.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24682
32.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46835
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7572
270.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7848
280.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6619
236.4 IPS |
|
|
Text Classification (F32)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3483
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3098
4.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
872
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
832
15.3 IPS |
