Mac Studio Mac15,14
Geekbench AI Score
21128
Single Precision Score
23388
Half Precision Score
21617
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | July 02 2025 08:01 PM |
| Views | 10 |
| Notes | M3 Ultra, 96 GB 28 COre, 60 córę GPU, 32 córę neural engine |
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% |
7956
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8243
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
7326
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23571
382.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24814
402.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23535
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
110808
129.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
115014
134.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
111094
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
7451
591.1 IPS |
|
|
Object Detection (HP)
|
100% |
8047
638.3 IPS |
|
|
Object Detection (Q)
|
92% |
7105
567.2 IPS |
|
|
Face Detection (SP)
|
100% |
36917
438.7 IPS |
|
|
Face Detection (HP)
|
100% |
37178
441.8 IPS |
|
|
Face Detection (Q)
|
100% |
32109
381.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37806
291.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41016
316.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37707
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
243413
312.9 IPS |
|
|
Style Transfer (HP)
|
100% |
267930
344.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252155
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28349
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28855
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24394
900.8 IPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5102
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5063
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4270
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4343
75.0 IPS |
