Mac15,14
Geekbench AI Score
20998
Single Precision Score
23167
Half Precision Score
21610
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 07:49 AM |
| Views | 9 |
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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7847
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8004
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7176
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23270
377.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24795
401.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23539
381.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
110874
129.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
114481
133.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111102
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
7548
598.7 IPS |
|
|
Object Detection (HP)
|
100% |
8012
635.5 IPS |
|
|
Object Detection (Q)
|
92% |
7082
565.3 IPS |
|
|
Face Detection (SP)
|
100% |
34187
406.2 IPS |
|
|
Face Detection (HP)
|
100% |
34548
410.5 IPS |
|
|
Face Detection (Q)
|
100% |
32570
387.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37880
291.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40849
314.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37150
290.2 IPS |
|
|
Style Transfer (SP)
|
100% |
241415
310.3 IPS |
|
|
Style Transfer (HP)
|
100% |
267359
343.7 IPS |
|
|
Style Transfer (Q)
|
96% |
252116
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28022
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28577
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24176
892.7 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5058
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4481
77.4 IPS |
