Mac15,14
Geekbench AI Score
21791
Single Precision Score
23861
Half Precision Score
21606
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | March 07 2025 02:23 PM |
| Views | 20 |
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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8083
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8312
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
7041
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22149
359.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23895
387.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24547
397.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
155070
180.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
162551
189.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
150954
176.9 IPS |
|
|
Object Detection (SP)
|
100% |
7987
633.5 IPS |
|
|
Object Detection (HP)
|
100% |
8056
639.0 IPS |
|
|
Object Detection (Q)
|
91% |
7165
572.5 IPS |
|
|
Face Detection (SP)
|
100% |
41615
494.5 IPS |
|
|
Face Detection (HP)
|
100% |
42129
500.6 IPS |
|
|
Face Detection (Q)
|
100% |
34852
414.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
39720
306.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43054
331.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
37209
290.8 IPS |
|
|
Style Transfer (SP)
|
100% |
297708
382.7 IPS |
|
|
Style Transfer (HP)
|
100% |
323736
416.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301779
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30984
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31097
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23889
882.1 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4903
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2588
44.7 IPS |
