Mac15,14
Geekbench AI Score
5546
Single Precision Score
8584
Half Precision Score
6687
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brownnose3712 |
| Upload Date | June 22 2025 11:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2593
482.3 IPS |
|
|
Image Classification (Q)
|
96% |
1880
351.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24474
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
43262
50.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29874
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3201
254.8 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8044
62.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13750
106.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9515
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39564
50.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56945
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
41759
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9437
348.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5840
215.6 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5079
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4827
83.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7673
132.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7676
132.7 IPS |
