Mac16,8
Geekbench AI Score
5801
Single Precision Score
8890
Half Precision Score
6867
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:43 AM |
| 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, 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.6 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18962
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30740
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23707
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.5 IPS |
|
|
Object Detection (HP)
|
97% |
3851
306.6 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4618
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8909
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14493
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10011
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35564
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48967
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38343
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9538
352.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5301
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5825
100.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8847
152.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8781
151.7 IPS |
