Mac16,7
Geekbench AI Score
5721
Single Precision Score
8788
Half Precision Score
6826
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3880
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18793
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31190
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24139
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7830
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4593
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8759
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14224
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10154
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35082
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48620
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39269
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9439
348.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5047
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5721
98.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8540
147.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8550
147.8 IPS |
