Mac16,8
Geekbench AI Score
5817
Single Precision Score
9011
Half Precision Score
6928
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:34 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3060
569.1 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18979
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31854
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24347
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7816
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4599
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8796
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14215
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10047
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36082
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49836
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38494
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9759
360.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5401
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5782
99.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8947
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8954
154.7 IPS |
