Mac16,11
Geekbench AI Score
5744
Single Precision Score
36880
Half Precision Score
49706
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kode54 |
| Upload Date | November 17 2024 05:01 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17739
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
24054
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23198
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32408
525.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18960
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123970
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230046
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
20108
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25021
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4515
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
44985
534.5 IPS |
|
|
Face Detection (Q)
|
100% |
57140
679.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8781
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109147
840.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179912
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35439
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236888
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303354
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47936
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78971
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16596
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17214
297.5 IPS |
