Mac16,11
Geekbench AI Score
5816
Single Precision Score
8965
Half Precision Score
6901
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kdm |
| Upload Date | November 15 2024 04:34 PM |
| Views | 14 |
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 | 4.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3112
578.7 IPS |
|
|
Image Classification (Q)
|
96% |
2223
415.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3581
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18853
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30521
35.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23909
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
97% |
3940
313.7 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7784
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4558
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8996
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14646
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35962
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49679
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37971
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9408
347.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5283
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5301
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8874
153.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8888
153.6 IPS |
