MacBook Pro (13-inch, 2022)
Geekbench ML Score
5475
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 08:06 PM |
| Views | 4 |
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% |
3320
621.3 IPS |
|
|
Image Classification (F16)
|
100% |
3264
610.9 IPS |
|
|
Image Classification (I8)
|
99% |
3303
618.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1238
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1111
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22923
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24851
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24590
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2848
212.6 IPS |
|
|
Object Detection (F16)
|
100% |
2764
206.3 IPS |
|
|
Object Detection (I8)
|
97% |
1208
90.2 IPS |
|
|
Face Detection (F32)
|
100% |
8930
106.2 IPS |
|
|
Face Detection (F16)
|
98% |
10133
120.5 IPS |
|
|
Face Detection (I8)
|
97% |
10006
119.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15875
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17642
136.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17218
133.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40750
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46048
60.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46666
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6334
226.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8115
289.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8669
309.6 IPS |
|
|
Text Classification (F32)
|
100% |
2058
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (I8)
|
99% |
721
13.3 IPS |
