Mac16,8
Geekbench AI Score
5748
Single Precision Score
38165
Half Precision Score
51585
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:39 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
18241
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
22702
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22963
372.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32255
522.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18962
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123636
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231839
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
19955
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24746
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4552
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
45256
537.7 IPS |
|
|
Face Detection (Q)
|
100% |
64747
769.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8705
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108586
836.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180809
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
34727
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237445
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304191
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47456
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80807
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6819
9.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6517
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5614
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16806
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16936
292.7 IPS |
