Mac Studio M3 Ultra Mac15,14
Geekbench AI Score
5369
Single Precision Score
30358
Half Precision Score
33401
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | May 23 2025 09:10 PM |
| Views | 4 |
| Notes | 96 GBs |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
16019
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17087
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21815
353.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27301
442.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21751
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120028
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119089
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
17513
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
18551
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
38273
454.8 IPS |
|
|
Face Detection (Q)
|
100% |
48794
579.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102952
793.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
117146
915.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35043
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
216271
278.0 IPS |
|
|
Style Transfer (Q)
|
96% |
210784
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39898
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50102
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5107
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5092
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5214
89.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5456
94.3 IPS |
