MacBook Pro (13-inch, 2022)
Geekbench ML Score
5551
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 20 2025 07:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
3350
626.9 IPS |
|
|
Image Classification (F16)
|
100% |
3389
634.1 IPS |
|
|
Image Classification (I8)
|
99% |
3438
643.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1270
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1274
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23076
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24669
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24565
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2763
206.3 IPS |
|
|
Object Detection (F16)
|
100% |
2887
215.5 IPS |
|
|
Object Detection (I8)
|
97% |
2046
152.8 IPS |
|
|
Face Detection (F32)
|
100% |
8873
105.5 IPS |
|
|
Face Detection (F16)
|
98% |
10041
119.4 IPS |
|
|
Face Detection (I8)
|
97% |
9898
117.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15556
120.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16979
131.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16265
126.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39901
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46760
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46499
61.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6905
246.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8981
320.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6627
236.7 IPS |
|
|
Text Classification (F32)
|
100% |
1877
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3375
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
760
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
701
12.9 IPS |
