Mac15,14
Geekbench AI Score
5368
Single Precision Score
30591
Half Precision Score
33445
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | April 11 2025 02:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
15900
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17711
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22448
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27340
443.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22230
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
120750
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118881
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
18126
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
17727
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
37972
451.2 IPS |
|
|
Face Detection (Q)
|
100% |
50306
597.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7854
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111245
857.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127080
993.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35734
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
216729
278.6 IPS |
|
|
Style Transfer (Q)
|
96% |
212883
274.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38238
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46921
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5026
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5347
92.4 IPS |
