Mac15,14
Geekbench AI Score
5391
Single Precision Score
8630
Half Precision Score
6799
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | September 10 2025 04:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1653
307.3 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.2 IPS |
|
|
Image Classification (Q)
|
96% |
1867
348.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21986
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
40707
47.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29629
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
97% |
3232
257.3 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4298
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7753
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13825
106.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9779
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36833
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59494
76.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44647
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8876
327.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5641
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5161
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8352
144.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8386
144.9 IPS |
