Mac15,14
Geekbench AI Score
5517
Single Precision Score
29306
Half Precision Score
31523
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 10:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
14631
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
14444
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21482
348.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27469
445.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23213
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119561
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117214
137.4 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
16239
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16356
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
37465
445.2 IPS |
|
|
Face Detection (Q)
|
100% |
48129
571.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8029
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100686
775.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111266
869.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38939
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
216823
278.7 IPS |
|
|
Style Transfer (Q)
|
96% |
207334
267.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6624
244.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36837
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42669
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5222
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5547
95.9 IPS |
