Mac15,14
Geekbench AI Score
23528
Single Precision Score
26016
Half Precision Score
24061
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 03:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8290
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8273
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7499
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26823
434.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28466
461.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26826
434.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
155064
180.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160016
186.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
155336
181.9 IPS |
|
|
Object Detection (SP)
|
100% |
7844
622.2 IPS |
|
|
Object Detection (HP)
|
100% |
8179
648.7 IPS |
|
|
Object Detection (Q)
|
92% |
7257
579.3 IPS |
|
|
Face Detection (SP)
|
100% |
42244
502.0 IPS |
|
|
Face Detection (HP)
|
100% |
45123
536.2 IPS |
|
|
Face Detection (Q)
|
100% |
38666
459.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40089
308.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43464
334.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39857
311.3 IPS |
|
|
Style Transfer (SP)
|
100% |
301738
387.9 IPS |
|
|
Style Transfer (HP)
|
100% |
330215
424.5 IPS |
|
|
Style Transfer (Q)
|
96% |
310405
400.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30776
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30941
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26070
962.7 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5108
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5072
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4365
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4535
78.4 IPS |
