MacBook Pro (13-inch, 2022)
Geekbench ML Score
5709
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 25 2025 06:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.48 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% |
3253
608.8 IPS |
|
|
Image Classification (F16)
|
100% |
3412
638.5 IPS |
|
|
Image Classification (I8)
|
99% |
3473
649.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1410
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1538
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23226
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24615
29.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25345
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2654
198.1 IPS |
|
|
Object Detection (F16)
|
100% |
2754
205.6 IPS |
|
|
Object Detection (I8)
|
97% |
2639
197.0 IPS |
|
|
Face Detection (F32)
|
100% |
7135
84.8 IPS |
|
|
Face Detection (F16)
|
98% |
10649
126.6 IPS |
|
|
Face Detection (I8)
|
97% |
10136
120.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16185
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15974
123.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
15431
119.7 IPS |
|
|
Style Transfer (F32)
|
100% |
38300
50.4 IPS |
|
|
Style Transfer (F16)
|
100% |
46528
61.2 IPS |
|
|
Style Transfer (I8)
|
100% |
45720
60.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6089
217.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7231
258.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7632
272.6 IPS |
|
|
Text Classification (F32)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3433
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
2349
3.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (I8)
|
99% |
848
15.6 IPS |
