Mac15,14
Geekbench AI Score
5372
Single Precision Score
8161
Half Precision Score
6428
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mohnishi |
| Upload Date | September 17 2025 05:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
2574
478.7 IPS |
|
|
Image Classification (Q)
|
96% |
1869
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3503
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21738
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36260
42.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26067
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (HP)
|
97% |
3182
253.3 IPS |
|
|
Object Detection (Q)
|
94% |
2306
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
4456
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
7042
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7779
59.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12496
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8832
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33380
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
47669
61.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37407
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5803
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5013
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7777
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7771
134.3 IPS |
