Mac15,14
Geekbench AI Score
21549
Single Precision Score
24186
Half Precision Score
22146
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ncsancsa |
| Upload Date | October 27 2025 08:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.06 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8121
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8665
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7426
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23573
382.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25235
409.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23653
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
107715
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117561
137.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112232
131.5 IPS |
|
|
Object Detection (SP)
|
100% |
7450
591.0 IPS |
|
|
Object Detection (HP)
|
100% |
8223
652.3 IPS |
|
|
Object Detection (Q)
|
92% |
7524
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
38383
456.1 IPS |
|
|
Face Detection (HP)
|
100% |
40217
477.9 IPS |
|
|
Face Detection (Q)
|
100% |
34553
410.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37621
289.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41271
318.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37488
292.8 IPS |
|
|
Style Transfer (SP)
|
100% |
243259
312.7 IPS |
|
|
Style Transfer (HP)
|
100% |
271759
349.4 IPS |
|
|
Style Transfer (Q)
|
96% |
263512
340.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28396
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28866
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24216
894.2 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5128
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5104
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4535
78.4 IPS |
