MacBook Pro (13-inch, 2022)
Geekbench ML Score
5306
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2024 07:56 PM |
| Views | 3 |
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 | 3.47 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% |
3309
619.3 IPS |
|
|
Image Classification (F16)
|
100% |
3362
629.2 IPS |
|
|
Image Classification (I8)
|
99% |
3311
619.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1426
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1410
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19495
23.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24538
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24466
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2651
197.9 IPS |
|
|
Object Detection (F16)
|
100% |
2760
206.0 IPS |
|
|
Object Detection (I8)
|
97% |
2056
153.5 IPS |
|
|
Face Detection (F32)
|
100% |
9033
107.4 IPS |
|
|
Face Detection (F16)
|
98% |
8969
106.6 IPS |
|
|
Face Detection (I8)
|
97% |
6103
72.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
11239
87.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16473
127.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16774
130.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41124
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
38383
50.5 IPS |
|
|
Style Transfer (I8)
|
100% |
32285
42.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6720
240.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7252
259.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10132
361.9 IPS |
|
|
Text Classification (F32)
|
100% |
2039
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3368
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
763
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
693
12.8 IPS |
|
|
Machine Translation (I8)
|
99% |
717
13.2 IPS |
