Mac15,14
Geekbench AI Score
5700
Single Precision Score
30382
Half Precision Score
33277
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 07:35 PM |
| Views | 6 |
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 | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
15463
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
16685
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21950
355.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27154
440.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24947
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
120460
140.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
119384
139.9 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
18014
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
18045
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
37967
451.1 IPS |
|
|
Face Detection (Q)
|
100% |
49465
587.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8265
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103219
795.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
118961
930.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38287
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
218524
280.9 IPS |
|
|
Style Transfer (Q)
|
96% |
211783
273.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39954
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50035
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5032
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4973
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5503
95.1 IPS |
