Mac15,14
Geekbench AI Score
23270
Single Precision Score
25750
Half Precision Score
23591
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jschmitt3 |
| Upload Date | April 01 2025 08:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.04 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8381
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
8181
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7401
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26272
425.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28064
454.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26369
427.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
154418
180.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160367
187.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
154303
180.8 IPS |
|
|
Object Detection (SP)
|
100% |
7462
591.9 IPS |
|
|
Object Detection (HP)
|
100% |
8092
641.9 IPS |
|
|
Object Detection (Q)
|
92% |
7132
569.3 IPS |
|
|
Face Detection (SP)
|
100% |
41721
495.7 IPS |
|
|
Face Detection (HP)
|
100% |
43649
518.6 IPS |
|
|
Face Detection (Q)
|
100% |
37575
446.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
39595
305.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42918
330.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
38776
303.2 IPS |
|
|
Style Transfer (SP)
|
100% |
296807
381.5 IPS |
|
|
Style Transfer (HP)
|
100% |
325710
418.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297741
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31104
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31569
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26162
966.0 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5090
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5065
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4326
74.8 IPS |
