Mac16,8
Geekbench AI Score
5782
Single Precision Score
8857
Half Precision Score
6860
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 03:43 PM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 8 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% |
3045
566.2 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3920
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18953
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30844
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23845
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4597
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13981
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35570
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50356
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38443
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9521
351.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5290
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5786
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8842
152.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8815
152.3 IPS |
