Mac16,8
Geekbench AI Score
5664
Single Precision Score
8865
Half Precision Score
6893
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lollo20 |
| Upload Date | January 07 2025 05:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3571
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18663
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31389
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24130
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
7699
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4552
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10194
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34662
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48006
61.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39061
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9603
354.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5282
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5442
93.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8705
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8694
150.3 IPS |
