Mac15,14
Geekbench AI Score
23674
Single Precision Score
26193
Half Precision Score
24297
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cinejay |
| Upload Date | November 06 2025 01:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8338
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8798
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
7501
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27037
438.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28357
459.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26919
436.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
150923
176.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
163351
190.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
156056
182.8 IPS |
|
|
Object Detection (SP)
|
100% |
7616
604.1 IPS |
|
|
Object Detection (HP)
|
100% |
7707
611.3 IPS |
|
|
Object Detection (Q)
|
92% |
7697
614.4 IPS |
|
|
Face Detection (SP)
|
100% |
42163
501.0 IPS |
|
|
Face Detection (HP)
|
100% |
44658
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
38825
461.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40515
312.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43619
336.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39508
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
299626
385.2 IPS |
|
|
Style Transfer (HP)
|
100% |
332313
427.2 IPS |
|
|
Style Transfer (Q)
|
96% |
321850
415.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30939
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31021
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25920
957.1 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4504
77.8 IPS |
