Mac16,5
Geekbench AI Score
5961
Single Precision Score
9216
Half Precision Score
7131
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 13 2024 04:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19171
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32753
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25063
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4860
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8155
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4784
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9026
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15116
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10420
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37172
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53705
69.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40367
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7235
267.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9780
361.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5979
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9130
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9077
156.9 IPS |
