Mac15,14
Geekbench AI Score
5388
Single Precision Score
8651
Half Precision Score
6806
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cinejay |
| Upload Date | November 06 2025 01:13 PM |
| Views | 5 |
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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1668
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
2568
477.5 IPS |
|
|
Image Classification (Q)
|
96% |
1885
351.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3554
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22342
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
40499
47.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30649
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7589
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7798
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13973
108.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9843
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36173
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60980
78.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44294
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6454
238.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9010
332.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5595
206.6 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8252
142.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8220
142.0 IPS |
