Mac15,14
Geekbench AI Score
5399
Single Precision Score
30284
Half Precision Score
33287
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
15463
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
17135
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22166
359.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27405
444.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21542
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119498
139.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119118
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
17638
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
17554
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
38403
456.3 IPS |
|
|
Face Detection (Q)
|
100% |
49390
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7975
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102267
787.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
117598
919.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34442
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
219442
282.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212129
273.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39070
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50007
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5120
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4874
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5211
89.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5420
93.7 IPS |
