Mac15,14
Geekbench AI Score
5389
Single Precision Score
30082
Half Precision Score
33032
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 07:30 AM |
| Views | 12 |
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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
15606
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
17070
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21693
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26608
431.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21400
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119415
139.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118137
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
17575
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
17427
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
38402
456.3 IPS |
|
|
Face Detection (Q)
|
100% |
49001
582.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7909
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101376
781.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
114994
899.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35410
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
217622
279.8 IPS |
|
|
Style Transfer (Q)
|
96% |
211677
273.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6972
257.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38496
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49808
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5100
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5113
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5446
94.1 IPS |
