MacBook Pro (13-inch, 2022)
Geekbench ML Score
5283
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 10 2025 08:34 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
3318
620.8 IPS |
|
|
Image Classification (F16)
|
100% |
3326
622.4 IPS |
|
|
Image Classification (I8)
|
99% |
3301
617.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1296
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1075
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13334
16.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24945
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24900
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
1991
148.7 IPS |
|
|
Object Detection (F16)
|
100% |
2348
175.3 IPS |
|
|
Object Detection (I8)
|
97% |
1555
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
8985
106.8 IPS |
|
|
Face Detection (F16)
|
98% |
10114
120.3 IPS |
|
|
Face Detection (I8)
|
97% |
8417
100.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14900
115.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
16195
125.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
13998
108.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40688
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47219
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47066
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10319
368.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7439
265.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9189
328.2 IPS |
|
|
Text Classification (F32)
|
100% |
1996
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3294
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3335
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
670
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
710
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
