Mac16,8
Geekbench AI Score
15642
Single Precision Score
17575
Half Precision Score
13193
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.36 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7982
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8383
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
8235
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12133
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13165
213.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
13182
213.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56949
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59110
69.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
54951
64.3 IPS |
|
|
Object Detection (SP)
|
100% |
7391
586.3 IPS |
|
|
Object Detection (HP)
|
100% |
7884
625.3 IPS |
|
|
Object Detection (Q)
|
91% |
6585
526.2 IPS |
|
|
Face Detection (SP)
|
100% |
26385
313.5 IPS |
|
|
Face Detection (HP)
|
100% |
28117
334.1 IPS |
|
|
Face Detection (Q)
|
100% |
21455
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34053
262.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36311
279.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
4919
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
124361
159.9 IPS |
|
|
Style Transfer (HP)
|
100% |
135505
174.2 IPS |
|
|
Style Transfer (Q)
|
100% |
135477
174.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22749
840.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24506
904.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19424
719.6 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2725
47.1 IPS |
