Mac16,8
Geekbench AI Score
5772
Single Precision Score
8853
Half Precision Score
6849
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Shenrods |
| Upload Date | November 13 2024 10:17 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.7 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3469
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18905
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31145
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23879
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7783
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4584
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8758
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13965
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10011
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35917
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48756
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38364
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9484
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8735
150.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8773
151.6 IPS |
