Mac16,11
Geekbench AI Score
5782
Single Precision Score
8873
Half Precision Score
6915
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 02:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.1 IPS |
|
|
Image Classification (Q)
|
96% |
2188
408.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3485
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3928
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30875
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23719
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4653
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8880
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14290
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10127
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35601
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50132
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39848
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9526
351.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5283
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5237
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8620
148.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8839
152.8 IPS |
