MacBook Pro (13-inch, 2022)
Geekbench ML Score
5829
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 03 2025 06:54 PM |
| Views | 5 |
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 | 3.47 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% |
3332
623.6 IPS |
|
|
Image Classification (F16)
|
100% |
3384
633.2 IPS |
|
|
Image Classification (I8)
|
99% |
3390
634.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1432
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1269
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23091
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24740
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24816
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2923
218.3 IPS |
|
|
Object Detection (F16)
|
100% |
2947
220.0 IPS |
|
|
Object Detection (I8)
|
97% |
2854
213.1 IPS |
|
|
Face Detection (F32)
|
100% |
7160
85.1 IPS |
|
|
Face Detection (F16)
|
98% |
10045
119.4 IPS |
|
|
Face Detection (I8)
|
97% |
9662
114.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15929
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17338
134.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17216
133.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40234
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46855
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46972
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9134
326.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9196
328.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7508
268.1 IPS |
|
|
Text Classification (F32)
|
100% |
2021
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3443
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
876
16.1 IPS |
