Mac15,14
Geekbench AI Score
21935
Single Precision Score
24065
Half Precision Score
22496
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | September 10 2025 04:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8327
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8941
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
7600
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23873
387.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25297
410.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23858
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
108746
126.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
118929
138.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
113626
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
7648
606.6 IPS |
|
|
Object Detection (HP)
|
100% |
7873
624.5 IPS |
|
|
Object Detection (Q)
|
92% |
7716
615.9 IPS |
|
|
Face Detection (SP)
|
100% |
38561
458.2 IPS |
|
|
Face Detection (HP)
|
100% |
40646
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
35246
418.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38298
295.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41688
321.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37956
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
247204
317.8 IPS |
|
|
Style Transfer (HP)
|
100% |
274500
352.9 IPS |
|
|
Style Transfer (Q)
|
96% |
263793
340.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29364
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29264
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24510
905.0 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5084
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5091
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4743
82.0 IPS |
