Mac15,14
Geekbench AI Score
21065
Single Precision Score
23232
Half Precision Score
21485
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
7887
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7962
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7247
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23375
378.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24578
398.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23529
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
110578
129.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
114346
133.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
110469
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
7411
587.9 IPS |
|
|
Object Detection (HP)
|
100% |
7978
632.8 IPS |
|
|
Object Detection (Q)
|
92% |
7004
559.1 IPS |
|
|
Face Detection (SP)
|
100% |
37468
445.2 IPS |
|
|
Face Detection (HP)
|
100% |
38465
457.0 IPS |
|
|
Face Detection (Q)
|
100% |
33068
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38066
293.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40685
313.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37052
289.7 IPS |
|
|
Style Transfer (SP)
|
100% |
243133
312.6 IPS |
|
|
Style Transfer (HP)
|
100% |
264183
339.6 IPS |
|
|
Style Transfer (Q)
|
96% |
247031
318.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27968
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28925
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24450
902.8 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5049
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5026
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4272
73.8 IPS |
