Mac15,14
Geekbench AI Score
5438
Single Precision Score
24198
Half Precision Score
29095
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 02:07 PM |
| Views | 2 |
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, 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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
6731
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
16109
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16808
272.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
16854
273.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23238
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
115749
135.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
113166
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
15556
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
18528
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
4575
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
24736
293.9 IPS |
|
|
Face Detection (Q)
|
100% |
38708
459.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7987
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82935
639.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
87253
674.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37933
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
163022
209.6 IPS |
|
|
Style Transfer (Q)
|
100% |
163412
210.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37789
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49953
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5054
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5481
94.7 IPS |
