Mac15,14
Geekbench AI Score
21650
Single Precision Score
23676
Half Precision Score
22099
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Zagar |
| Upload Date | May 23 2025 01:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8191
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8320
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
7482
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23701
384.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25023
405.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23822
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
112678
131.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116469
135.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
111896
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
7946
630.3 IPS |
|
|
Object Detection (HP)
|
100% |
8199
650.4 IPS |
|
|
Object Detection (Q)
|
92% |
7565
603.9 IPS |
|
|
Face Detection (SP)
|
100% |
37808
449.2 IPS |
|
|
Face Detection (HP)
|
100% |
37345
443.7 IPS |
|
|
Face Detection (Q)
|
100% |
34532
410.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38346
295.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41415
319.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37715
294.6 IPS |
|
|
Style Transfer (SP)
|
100% |
249542
320.8 IPS |
|
|
Style Transfer (HP)
|
100% |
270762
348.1 IPS |
|
|
Style Transfer (Q)
|
96% |
257408
332.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29222
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29505
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24898
919.4 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5072
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5064
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4358
75.3 IPS |
