Mac16,11
Geekbench AI Score
5778
Single Precision Score
38203
Half Precision Score
50911
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | nexsus |
| Upload Date | November 11 2024 05:27 PM |
| Views | 11 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
18209
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
22691
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23049
373.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32239
522.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18890
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123279
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231593
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
20161
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24129
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44712
531.3 IPS |
|
|
Face Detection (Q)
|
100% |
64828
770.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8826
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112497
866.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181527
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35531
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236192
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301042
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47528
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82816
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6823
9.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16478
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16913
292.3 IPS |
