Mac16,8
Geekbench AI Score
5780
Single Precision Score
8871
Half Precision Score
6855
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:53 AM |
| Views | 3 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3488
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3907
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18919
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30931
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23818
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7833
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4630
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8867
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14259
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9958
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35238
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49194
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38279
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9563
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5214
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5186
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8824
152.5 IPS |
