Mac15,14
Geekbench AI Score
20669
Single Precision Score
22963
Half Precision Score
21355
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 09:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
7489
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8003
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
6991
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23266
377.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24863
403.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23262
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106721
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116721
136.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
111931
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
7291
578.4 IPS |
|
|
Object Detection (HP)
|
100% |
7329
581.4 IPS |
|
|
Object Detection (Q)
|
92% |
7283
581.4 IPS |
|
|
Face Detection (SP)
|
100% |
37003
439.7 IPS |
|
|
Face Detection (HP)
|
100% |
39736
472.2 IPS |
|
|
Face Detection (Q)
|
100% |
33381
396.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36883
284.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40532
312.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
36821
287.6 IPS |
|
|
Style Transfer (SP)
|
100% |
239441
307.8 IPS |
|
|
Style Transfer (HP)
|
100% |
266409
342.5 IPS |
|
|
Style Transfer (Q)
|
96% |
256282
330.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26941
994.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26899
993.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23120
853.7 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4230
73.1 IPS |
