Mac16,11
Geekbench AI Score
5755
Single Precision Score
36815
Half Precision Score
49560
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 11:29 PM |
| Views | 1 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17697
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22518
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23730
384.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32185
521.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18932
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123537
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231433
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
20231
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23878
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44873
533.2 IPS |
|
|
Face Detection (Q)
|
100% |
64065
761.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112102
863.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177349
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35408
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239564
308.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302489
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47356
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79397
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4964
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5701
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16291
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16479
284.8 IPS |
