Mac15,14
Geekbench AI Score
23619
Single Precision Score
25910
Half Precision Score
24183
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lethean-devserver |
| Upload Date | September 06 2025 04:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 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% |
8221
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
7548
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26895
436.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28588
463.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26681
432.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
155108
181.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159980
186.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
155499
182.1 IPS |
|
|
Object Detection (SP)
|
100% |
7849
622.6 IPS |
|
|
Object Detection (HP)
|
100% |
8212
651.4 IPS |
|
|
Object Detection (Q)
|
92% |
7679
613.0 IPS |
|
|
Face Detection (SP)
|
100% |
43017
511.1 IPS |
|
|
Face Detection (HP)
|
100% |
43167
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
37945
450.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40099
308.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43527
335.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
40125
313.4 IPS |
|
|
Style Transfer (SP)
|
100% |
299268
384.7 IPS |
|
|
Style Transfer (HP)
|
100% |
330132
424.4 IPS |
|
|
Style Transfer (Q)
|
96% |
310287
400.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30584
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30625
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26210
967.8 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4996
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4600
79.5 IPS |
