Mac Studio M3 Ultra Mac15,14
Geekbench AI Score
21130
Single Precision Score
23528
Half Precision Score
21736
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | May 23 2025 09:05 PM |
| Views | 9 |
| Notes | 96 GBs RAM |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7970
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8273
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7431
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23558
381.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25002
405.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23552
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
111754
130.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
115510
134.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
111470
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
7483
593.6 IPS |
|
|
Object Detection (HP)
|
100% |
8090
641.7 IPS |
|
|
Object Detection (Q)
|
92% |
7083
565.4 IPS |
|
|
Face Detection (SP)
|
100% |
36519
433.9 IPS |
|
|
Face Detection (HP)
|
100% |
37781
448.9 IPS |
|
|
Face Detection (Q)
|
100% |
33843
402.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
37820
291.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40546
312.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37155
290.2 IPS |
|
|
Style Transfer (SP)
|
100% |
242805
312.1 IPS |
|
|
Style Transfer (HP)
|
100% |
269242
346.1 IPS |
|
|
Style Transfer (Q)
|
96% |
256201
330.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28367
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28709
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24329
898.4 IPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5088
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4272
73.8 IPS |
