MacBook Pro (13-inch, 2022)
Geekbench ML Score
5456
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2024 07:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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 | 3.46 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% |
3470
649.3 IPS |
|
|
Image Classification (F16)
|
100% |
3555
665.3 IPS |
|
|
Image Classification (I8)
|
99% |
3417
639.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1432
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22938
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
21983
26.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20798
25.2 IPS |
|
|
Object Detection (F32)
|
100% |
1544
115.3 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
97% |
2843
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (F16)
|
98% |
8474
100.8 IPS |
|
|
Face Detection (I8)
|
97% |
9991
118.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15974
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11859
92.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10654
82.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40712
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46714
61.4 IPS |
|
|
Style Transfer (I8)
|
100% |
46913
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8417
300.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10667
380.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7042
251.5 IPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3454
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
765
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
837
15.4 IPS |
