MacBook Pro (13-inch, 2022)
Geekbench ML Score
5794
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.45 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% |
3092
578.7 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.0 IPS |
|
|
Image Classification (I8)
|
99% |
3284
614.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1241
20.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1203
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23236
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24964
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24762
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2714
202.7 IPS |
|
|
Object Detection (F16)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (I8)
|
97% |
2790
208.3 IPS |
|
|
Face Detection (F32)
|
100% |
8988
106.9 IPS |
|
|
Face Detection (F16)
|
98% |
9811
116.7 IPS |
|
|
Face Detection (I8)
|
97% |
10213
121.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15715
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17338
134.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17135
132.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41319
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47259
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46496
61.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8978
320.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9318
332.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9523
340.1 IPS |
|
|
Text Classification (F32)
|
100% |
2020
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3357
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3353
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
796
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
826
15.2 IPS |
