Mac16,11
Geekbench AI Score
5310
Single Precision Score
8373
Half Precision Score
6535
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | November 09 2024 08:07 AM |
| Views | 20 |
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 | 3.76 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16070
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28347
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22337
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3657
291.1 IPS |
|
|
Object Detection (Q)
|
94% |
2484
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4216
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13649
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9897
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33609
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47899
61.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36844
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6647
245.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8855
327.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5542
204.6 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5073
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8108
140.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8003
138.3 IPS |
