Mac15,14
Geekbench AI Score
22031
Single Precision Score
24280
Half Precision Score
22577
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 15 2025 03:47 PM |
| Views | 4 |
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 | 4.06 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8342
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8837
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
7582
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23887
387.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25405
411.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23986
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
108446
126.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118705
138.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113936
133.5 IPS |
|
|
Object Detection (SP)
|
100% |
8025
636.6 IPS |
|
|
Object Detection (HP)
|
100% |
7809
619.4 IPS |
|
|
Object Detection (Q)
|
92% |
7737
617.6 IPS |
|
|
Face Detection (SP)
|
100% |
38797
461.0 IPS |
|
|
Face Detection (HP)
|
100% |
41011
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
35373
420.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38361
295.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41727
321.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38170
298.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246574
317.0 IPS |
|
|
Style Transfer (HP)
|
100% |
274561
353.0 IPS |
|
|
Style Transfer (Q)
|
96% |
265095
342.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29234
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29232
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24762
914.3 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5062
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5096
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4956
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4923
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
