Mac16,11
Geekbench AI Score
5760
Single Precision Score
37217
Half Precision Score
50760
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | November 09 2024 06:01 AM |
| Views | 21 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
17704
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24325
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23142
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32356
524.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18834
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123476
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231136
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
20201
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24409
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
45047
535.3 IPS |
|
|
Face Detection (Q)
|
100% |
63957
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8786
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111826
861.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177674
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35166
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238665
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301722
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7048
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47663
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78771
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5741
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5748
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16814
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16495
285.1 IPS |
