Mac15,14
Geekbench AI Score
5378
Single Precision Score
8193
Half Precision Score
6436
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | user8u932r |
| Upload Date | April 24 2025 03:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
96% |
1877
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3499
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22445
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
38087
44.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27385
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
7154
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7803
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12709
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8701
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33216
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46101
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36522
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9317
344.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5048
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5082
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7623
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7631
131.9 IPS |
