Mac15,14
Geekbench AI Score
21755
Single Precision Score
23883
Half Precision Score
21433
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 12:07 PM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8188
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7007
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22114
358.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23605
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24758
401.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
154571
180.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
161622
188.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
150062
175.9 IPS |
|
|
Object Detection (SP)
|
100% |
7951
630.6 IPS |
|
|
Object Detection (HP)
|
100% |
8226
652.5 IPS |
|
|
Object Detection (Q)
|
91% |
7118
568.8 IPS |
|
|
Face Detection (SP)
|
100% |
41582
494.1 IPS |
|
|
Face Detection (HP)
|
100% |
42557
505.7 IPS |
|
|
Face Detection (Q)
|
100% |
34195
406.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39559
304.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43130
332.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36447
284.9 IPS |
|
|
Style Transfer (SP)
|
100% |
298930
384.3 IPS |
|
|
Style Transfer (HP)
|
100% |
323113
415.4 IPS |
|
|
Style Transfer (Q)
|
96% |
289929
374.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30145
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30985
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23900
882.5 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4913
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2602
45.0 IPS |
