Mac15,14
Geekbench AI Score
21678
Single Precision Score
23975
Half Precision Score
22241
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8202
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8387
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7526
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23891
387.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25317
410.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23888
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
112484
131.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
115550
134.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
111795
131.0 IPS |
|
|
Object Detection (SP)
|
100% |
7778
617.0 IPS |
|
|
Object Detection (HP)
|
100% |
8268
655.9 IPS |
|
|
Object Detection (Q)
|
92% |
7294
582.2 IPS |
|
|
Face Detection (SP)
|
100% |
38734
460.2 IPS |
|
|
Face Detection (HP)
|
100% |
40584
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
34915
414.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38569
297.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41739
321.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38250
299.1 IPS |
|
|
Style Transfer (SP)
|
100% |
248294
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
270222
347.4 IPS |
|
|
Style Transfer (Q)
|
96% |
253125
326.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28906
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29698
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25293
934.0 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5103
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5070
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4661
80.6 IPS |
