MacBook Pro (13-inch, 2022)
Geekbench ML Score
6004
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 05:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.30 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% |
3271
612.0 IPS |
|
|
Image Classification (F16)
|
100% |
3311
619.7 IPS |
|
|
Image Classification (I8)
|
99% |
3301
617.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1302
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1516
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1544
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23397
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25291
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25143
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2839
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (I8)
|
97% |
2872
214.4 IPS |
|
|
Face Detection (F32)
|
100% |
8771
104.3 IPS |
|
|
Face Detection (F16)
|
98% |
10138
120.5 IPS |
|
|
Face Detection (I8)
|
97% |
10041
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15916
123.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17238
133.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17194
133.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40507
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
44378
58.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47174
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9655
344.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8720
311.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7163
255.8 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3037
4.36 KIPS |
|
|
Text Classification (I8)
|
96% |
3463
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1076
19.8 IPS |
