Mac15,14
Geekbench AI Score
20775
Single Precision Score
23141
Half Precision Score
21599
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | alexpull |
| Upload Date | December 02 2025 01:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
7156
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
8103
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7069
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23250
376.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24792
401.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23379
379.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106878
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
116898
136.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111329
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
7204
571.4 IPS |
|
|
Object Detection (HP)
|
100% |
7352
583.1 IPS |
|
|
Object Detection (Q)
|
92% |
7326
584.8 IPS |
|
|
Face Detection (SP)
|
100% |
37321
443.5 IPS |
|
|
Face Detection (HP)
|
100% |
39140
465.1 IPS |
|
|
Face Detection (Q)
|
100% |
33618
399.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37250
287.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40465
311.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
36766
287.2 IPS |
|
|
Style Transfer (SP)
|
100% |
240384
309.0 IPS |
|
|
Style Transfer (HP)
|
100% |
266428
342.5 IPS |
|
|
Style Transfer (Q)
|
96% |
258851
334.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26913
993.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26810
990.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22924
846.5 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4851
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4624
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4609
79.7 IPS |
