Mac15,14
Geekbench AI Score
5440
Single Precision Score
8714
Half Precision Score
6824
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 15 2025 03:44 PM |
| Views | 5 |
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 | 3.96 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.1 IPS |
|
|
Image Classification (Q)
|
96% |
1887
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23219
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
40844
47.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
31116
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.0 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7839
60.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
14114
109.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9757
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37246
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
64782
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
44792
57.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6511
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8884
328.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8225
142.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8307
143.6 IPS |
