Mac16,8
Geekbench AI Score
5717
Single Precision Score
8849
Half Precision Score
6937
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 05:00 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3049
567.0 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3928
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18730
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31115
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24390
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7749
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4632
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13898
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10057
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34870
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49130
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38180
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9547
352.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5771
213.1 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5236
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5184
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8671
149.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8691
150.2 IPS |
