Mac16,8
Geekbench AI Score
5767
Single Precision Score
8887
Half Precision Score
6846
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jayfries |
| Upload Date | November 14 2024 11:15 PM |
| Views | 7 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.0 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18926
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31653
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24212
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7896
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4578
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8893
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14762
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10002
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35518
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48940
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38654
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9473
349.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8719
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8668
149.8 IPS |
