Mac15,14
Geekbench AI Score
23302
Single Precision Score
25690
Half Precision Score
23778
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | batmunkh |
| Upload Date | August 25 2025 08:19 PM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8209
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8403
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7521
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26215
425.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28167
456.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26423
428.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
155999
182.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159874
186.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
155380
182.0 IPS |
|
|
Object Detection (SP)
|
100% |
7924
628.6 IPS |
|
|
Object Detection (HP)
|
100% |
8183
649.1 IPS |
|
|
Object Detection (Q)
|
92% |
7499
598.6 IPS |
|
|
Face Detection (SP)
|
100% |
40964
486.7 IPS |
|
|
Face Detection (HP)
|
100% |
41693
495.4 IPS |
|
|
Face Detection (Q)
|
100% |
35731
424.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40012
308.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42545
327.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38737
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
302531
388.9 IPS |
|
|
Style Transfer (HP)
|
100% |
333049
428.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320098
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30706
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30731
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26216
968.0 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5061
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4965
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4327
74.8 IPS |
