MacBook Pro (13-inch, 2022)
Geekbench ML Score
5633
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2025 06:42 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.18 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% |
2350
439.7 IPS |
|
|
Image Classification (F16)
|
100% |
3410
638.1 IPS |
|
|
Image Classification (I8)
|
99% |
3431
642.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1424
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1531
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23205
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24350
29.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24660
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2730
203.8 IPS |
|
|
Object Detection (F16)
|
100% |
2899
216.4 IPS |
|
|
Object Detection (I8)
|
97% |
1928
143.9 IPS |
|
|
Face Detection (F32)
|
100% |
9067
107.8 IPS |
|
|
Face Detection (F16)
|
98% |
10019
119.1 IPS |
|
|
Face Detection (I8)
|
97% |
9848
117.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16651
129.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17793
138.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17575
136.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40420
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
46620
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46389
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7385
263.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7026
250.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10577
377.7 IPS |
|
|
Text Classification (F32)
|
100% |
1732
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2675
3.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3270
4.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
822
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
824
15.2 IPS |
|
|
Machine Translation (I8)
|
99% |
800
14.7 IPS |
