Mac16,6
Geekbench AI Score
5961
Single Precision Score
9145
Half Precision Score
7029
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | coryholt |
| Upload Date | November 21 2024 11:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
3079
572.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3538
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19275
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32851
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25141
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
97% |
3902
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4699
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8993
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14805
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10428
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37037
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53401
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39800
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9627
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5399
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9099
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8947
154.6 IPS |
