Mac15,14
Geekbench AI Score
21758
Single Precision Score
24004
Half Precision Score
21389
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 07:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
8114
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8168
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
6996
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21764
352.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23970
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24528
397.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
153834
179.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
161034
187.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
151353
177.4 IPS |
|
|
Object Detection (SP)
|
100% |
8007
635.1 IPS |
|
|
Object Detection (HP)
|
100% |
8136
645.3 IPS |
|
|
Object Detection (Q)
|
91% |
7045
562.9 IPS |
|
|
Face Detection (SP)
|
100% |
42415
504.0 IPS |
|
|
Face Detection (HP)
|
100% |
43941
522.1 IPS |
|
|
Face Detection (Q)
|
100% |
33464
397.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39061
300.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43131
332.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36408
284.5 IPS |
|
|
Style Transfer (SP)
|
100% |
297211
382.1 IPS |
|
|
Style Transfer (HP)
|
100% |
322000
413.9 IPS |
|
|
Style Transfer (Q)
|
96% |
288184
371.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30237
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30945
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23979
885.4 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4987
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2609
45.1 IPS |
