Mac16,11
Geekbench AI Score
5780
Single Precision Score
8936
Half Precision Score
6907
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | November 30 2024 11:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (Q)
|
96% |
2174
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3940
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18905
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32148
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24367
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4597
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7809
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8844
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14593
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10394
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35948
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50741
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39465
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9522
351.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5757
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8793
151.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8780
151.7 IPS |
