Mac16,11
Geekbench AI Score
14130
Single Precision Score
16029
Half Precision Score
14020
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7618
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7988
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6918
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11971
194.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12944
209.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13357
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56742
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59138
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56073
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
7186
570.0 IPS |
|
|
Object Detection (HP)
|
100% |
7677
608.9 IPS |
|
|
Object Detection (Q)
|
91% |
6589
526.5 IPS |
|
|
Face Detection (SP)
|
100% |
25670
305.0 IPS |
|
|
Face Detection (HP)
|
100% |
26952
320.2 IPS |
|
|
Face Detection (Q)
|
100% |
19106
227.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33489
258.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35778
275.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
29051
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123584
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
133960
172.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127502
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22829
843.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23923
883.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19693
727.2 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
