Mac16,8
Geekbench AI Score
5764
Single Precision Score
8808
Half Precision Score
6902
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FerCraft |
| Upload Date | November 16 2024 07:31 PM |
| Views | 5 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
96% |
2151
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3588
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18850
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31040
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23918
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4594
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13799
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10047
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35366
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46925
60.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38160
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9511
351.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5684
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5197
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5748
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8784
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8682
150.0 IPS |
