Mac15,14
Geekbench AI Score
5363
Single Precision Score
8456
Half Precision Score
6655
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 15 2025 02:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1684
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.6 IPS |
|
|
Image Classification (Q)
|
96% |
1888
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3516
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22187
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31709
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24752
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
7613
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4263
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7849
60.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13960
107.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9788
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36856
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
62492
80.3 IPS |
|
|
Style Transfer (Q)
|
96% |
44592
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6494
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8944
330.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5659
208.9 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5133
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8182
141.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8152
140.9 IPS |
