Mac16,11
Geekbench AI Score
5769
Single Precision Score
8928
Half Precision Score
6874
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HdwJunkie |
| Upload Date | November 24 2024 02:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.8 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18961
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31259
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24016
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8009
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8891
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14940
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10112
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35232
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50702
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39184
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9501
350.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5260
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5220
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8608
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8572
148.1 IPS |
