Mac15,14
Geekbench AI Score
23301
Single Precision Score
25719
Half Precision Score
20922
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 02:10 PM |
| 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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8079
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8181
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
8176
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26451
428.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28414
460.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
28036
454.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
154152
179.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
158435
184.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
146664
171.7 IPS |
|
|
Object Detection (SP)
|
100% |
7581
601.3 IPS |
|
|
Object Detection (HP)
|
100% |
8150
646.5 IPS |
|
|
Object Detection (Q)
|
92% |
7212
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
42673
507.0 IPS |
|
|
Face Detection (HP)
|
100% |
43889
521.5 IPS |
|
|
Face Detection (Q)
|
100% |
38745
460.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
39567
304.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42944
330.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9502
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
297174
382.0 IPS |
|
|
Style Transfer (HP)
|
100% |
327739
421.3 IPS |
|
|
Style Transfer (Q)
|
100% |
328733
422.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30460
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30726
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
24935
923.8 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5062
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4341
75.0 IPS |
