Mac16,8
Geekbench AI Score
5803
Single Precision Score
37753
Half Precision Score
51033
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:22 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
18176
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24260
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23150
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32315
523.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18892
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123070
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230585
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
20416
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24729
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
39792
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
55332
657.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111415
858.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
181848
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35705
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238028
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303543
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47307
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80333
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6265
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17326
298.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17439
301.4 IPS |
