MacBook Pro (13-inch, 2022)
Geekbench ML Score
4982
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2025 08:05 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 | 3.28 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% |
3251
608.3 IPS |
|
|
Image Classification (F16)
|
100% |
3289
615.5 IPS |
|
|
Image Classification (I8)
|
99% |
1809
338.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1274
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1313
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1171
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22584
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24225
29.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24187
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2196
163.9 IPS |
|
|
Object Detection (F16)
|
100% |
2769
206.7 IPS |
|
|
Object Detection (I8)
|
97% |
2785
207.9 IPS |
|
|
Face Detection (F32)
|
100% |
8881
105.6 IPS |
|
|
Face Detection (F16)
|
98% |
7176
85.3 IPS |
|
|
Face Detection (I8)
|
97% |
10226
121.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15743
122.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17746
137.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
16882
130.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40702
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47142
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
44158
58.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5483
195.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6479
231.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5851
209.0 IPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (I8)
|
96% |
1654
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
699
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (I8)
|
99% |
718
13.2 IPS |
