Mac15,14
Geekbench AI Score
21197
Single Precision Score
23557
Half Precision Score
21791
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 09:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.99 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8047
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8156
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7361
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23635
383.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24939
404.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
112340
131.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
115981
135.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
112317
131.6 IPS |
|
|
Object Detection (SP)
|
100% |
7688
609.8 IPS |
|
|
Object Detection (HP)
|
100% |
8173
648.3 IPS |
|
|
Object Detection (Q)
|
92% |
7314
583.8 IPS |
|
|
Face Detection (SP)
|
100% |
37512
445.7 IPS |
|
|
Face Detection (HP)
|
100% |
39891
474.0 IPS |
|
|
Face Detection (Q)
|
100% |
32967
391.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38375
295.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41265
317.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37703
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
248277
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
269875
346.9 IPS |
|
|
Style Transfer (Q)
|
96% |
258782
334.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28864
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28945
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24508
905.0 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4902
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
