Mac16,11
Geekbench AI Score
5775
Single Precision Score
8896
Half Precision Score
6862
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | November 09 2024 12:24 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
96% |
2173
405.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31679
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24169
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4617
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8877
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14390
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35237
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49482
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38486
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9516
351.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5215
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5260
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8658
149.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8641
149.3 IPS |
