Mac16,8
Geekbench AI Score
5745
Single Precision Score
8866
Half Precision Score
6866
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | electus |
| Upload Date | November 08 2024 01:25 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18934
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31480
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24293
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4512
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4665
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14136
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10045
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35623
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50599
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38603
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9498
350.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8732
150.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8723
150.7 IPS |
