Mac15,14
Geekbench AI Score
5468
Single Precision Score
8398
Half Precision Score
6579
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | marcisme |
| Upload Date | May 16 2025 04:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.02 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2586
480.9 IPS |
|
|
Image Classification (Q)
|
96% |
1884
351.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24241
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39153
45.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
27410
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
97% |
3221
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2333
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7223
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4210
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7945
61.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13421
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9165
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38192
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55426
71.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40808
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6808
251.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9271
342.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5815
214.7 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5003
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4965
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7736
133.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7856
135.8 IPS |
