Mac15,14
Geekbench AI Score
5385
Single Precision Score
8341
Half Precision Score
6567
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | April 11 2025 02:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1865
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21826
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
40423
47.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
29284
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.1 IPS |
|
|
Object Detection (HP)
|
97% |
3188
253.8 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
4638
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
7025
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
4127
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7998
61.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13595
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8977
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35545
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49749
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38830
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9426
348.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5896
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5100
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5079
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4823
83.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7659
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7760
134.1 IPS |
