Mac16,11
Geekbench AI Score
5790
Single Precision Score
8931
Half Precision Score
6901
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
3062
569.5 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18759
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31733
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24268
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3871
308.2 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8043
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8789
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13917
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10124
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35171
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49353
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38383
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9469
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8715
150.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8757
151.3 IPS |
