Mac16,8
Geekbench AI Score
5802
Single Precision Score
8983
Half Precision Score
7486
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:27 PM |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (Q)
|
99% |
3002
559.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18992
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30853
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23744
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8061
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4687
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8923
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14758
114.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
14731
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35812
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50336
64.7 IPS |
|
|
Style Transfer (Q)
|
100% |
50093
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9687
357.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5225
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5362
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5782
99.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8774
151.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8843
152.8 IPS |
