Mac16,8
Geekbench AI Score
5733
Single Precision Score
8862
Half Precision Score
6845
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.3 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18879
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31244
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24147
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7946
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4596
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8560
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14231
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10194
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35251
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49397
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38591
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9487
350.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5180
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5126
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8648
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8591
148.5 IPS |
