Mac15,14
Geekbench AI Score
23776
Single Precision Score
26173
Half Precision Score
24342
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | April 11 2025 02:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8337
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8407
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7597
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26739
433.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28614
463.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27109
439.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
156478
182.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
162647
189.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
156908
183.8 IPS |
|
|
Object Detection (SP)
|
100% |
8116
643.8 IPS |
|
|
Object Detection (HP)
|
100% |
8334
661.0 IPS |
|
|
Object Detection (Q)
|
92% |
7820
624.2 IPS |
|
|
Face Detection (SP)
|
100% |
42800
508.6 IPS |
|
|
Face Detection (HP)
|
100% |
44444
528.1 IPS |
|
|
Face Detection (Q)
|
100% |
37398
444.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40553
312.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43584
335.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
40369
315.7 IPS |
|
|
Style Transfer (SP)
|
100% |
306625
394.2 IPS |
|
|
Style Transfer (HP)
|
100% |
327441
420.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304800
393.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31195
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31864
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26891
992.9 IPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5015
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4989
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4682
80.9 IPS |
