Mac16,11
Geekbench AI Score
13023
Single Precision Score
14068
Half Precision Score
12491
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 01:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7112
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7665
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
6442
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10808
175.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11393
184.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11517
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46118
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48233
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45852
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6950
551.3 IPS |
|
|
Object Detection (HP)
|
100% |
7219
572.6 IPS |
|
|
Object Detection (Q)
|
91% |
6171
493.1 IPS |
|
|
Face Detection (SP)
|
100% |
23910
284.1 IPS |
|
|
Face Detection (HP)
|
100% |
25461
302.5 IPS |
|
|
Face Detection (Q)
|
100% |
18529
220.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32178
247.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34227
263.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
28201
220.4 IPS |
|
|
Style Transfer (SP)
|
100% |
105546
135.7 IPS |
|
|
Style Transfer (HP)
|
100% |
115143
148.0 IPS |
|
|
Style Transfer (Q)
|
96% |
108540
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18068
667.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19192
708.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14840
548.0 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
