Mac15,14
Geekbench AI Score
5569
Single Precision Score
29791
Half Precision Score
33104
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 08 2025 05:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
15438
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
17091
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21777
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26153
424.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22202
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
120417
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119304
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
17248
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
18330
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
38099
452.7 IPS |
|
|
Face Detection (Q)
|
100% |
49124
583.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8265
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101788
784.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
116031
907.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36405
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
218272
280.6 IPS |
|
|
Style Transfer (Q)
|
96% |
212821
274.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6967
257.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37336
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49438
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4914
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4935
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5935
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5464
94.4 IPS |
