MacBook Pro (13-inch, 2022)
Geekbench ML Score
5951
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 05 2025 06:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.29 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% |
2859
535.0 IPS |
|
|
Image Classification (F16)
|
100% |
3382
632.9 IPS |
|
|
Image Classification (I8)
|
99% |
3231
604.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1473
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1536
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23394
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25332
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25126
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2740
204.6 IPS |
|
|
Object Detection (F16)
|
100% |
2927
218.5 IPS |
|
|
Object Detection (I8)
|
97% |
2903
216.7 IPS |
|
|
Face Detection (F32)
|
100% |
8980
106.8 IPS |
|
|
Face Detection (F16)
|
98% |
10130
120.5 IPS |
|
|
Face Detection (I8)
|
97% |
10130
120.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16427
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17346
134.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17245
133.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40455
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
45337
59.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47518
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7622
272.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10395
371.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8209
293.2 IPS |
|
|
Text Classification (F32)
|
100% |
1184
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3428
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3449
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1044
19.2 IPS |
