Mac15,14
Geekbench AI Score
21596
Single Precision Score
23955
Half Precision Score
22194
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 09:09 PM |
| Views | 2 |
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% |
8211
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8402
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23790
385.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25223
408.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23836
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
112201
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
115325
134.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111815
131.0 IPS |
|
|
Object Detection (SP)
|
100% |
7821
620.4 IPS |
|
|
Object Detection (HP)
|
100% |
8269
655.9 IPS |
|
|
Object Detection (Q)
|
92% |
7658
611.3 IPS |
|
|
Face Detection (SP)
|
100% |
38164
453.5 IPS |
|
|
Face Detection (HP)
|
100% |
40395
480.0 IPS |
|
|
Face Detection (Q)
|
100% |
34618
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38401
295.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41811
322.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
38214
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
248827
319.9 IPS |
|
|
Style Transfer (HP)
|
100% |
269319
346.2 IPS |
|
|
Style Transfer (Q)
|
96% |
253210
326.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28785
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29432
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25134
928.1 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5030
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4500
77.8 IPS |
