Mac15,14
Geekbench AI Score
5449
Single Precision Score
30100
Half Precision Score
32874
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
15388
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
17015
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21733
352.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27379
443.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22111
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
120382
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118457
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
17600
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
17151
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
4619
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
38300
455.1 IPS |
|
|
Face Detection (Q)
|
100% |
46181
548.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7984
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101470
781.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
115467
902.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37588
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
218038
280.3 IPS |
|
|
Style Transfer (Q)
|
96% |
212053
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37734
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49844
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5097
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5422
93.7 IPS |
