Mac15,14
Geekbench AI Score
5565
Single Precision Score
30091
Half Precision Score
33071
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 28 2025 03:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
15454
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
16947
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21441
347.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25949
420.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23593
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121154
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119315
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
19008
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
18544
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
38069
452.3 IPS |
|
|
Face Detection (Q)
|
100% |
48666
578.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103374
796.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121033
946.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36948
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
218627
281.0 IPS |
|
|
Style Transfer (Q)
|
96% |
210788
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38255
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49425
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4929
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4893
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5851
100.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4918
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5357
92.6 IPS |
