Mac16,8
Geekbench AI Score
5763
Single Precision Score
8864
Half Precision Score
6868
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | XeiyrosDogon |
| Upload Date | November 10 2024 07:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
3004
558.7 IPS |
|
|
Image Classification (Q)
|
96% |
2171
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3427
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18797
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32030
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24082
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4588
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8866
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14371
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10344
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35489
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49681
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38187
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7005
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9487
350.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8701
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8693
150.2 IPS |
