Mac16,11
Geekbench AI Score
5694
Single Precision Score
8844
Half Precision Score
6877
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Suchanek |
| Upload Date | November 23 2024 02:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.1 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18751
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30984
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24037
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
7609
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4591
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8743
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14154
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35153
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49249
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38441
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6934
256.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9567
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5334
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5352
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8601
148.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8632
149.2 IPS |
