Mac16,6
Geekbench AI Score
5972
Single Precision Score
9198
Half Precision Score
7064
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 11:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.5 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19251
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32592
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24756
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (HP)
|
97% |
3936
313.3 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8008
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4662
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14844
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10261
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37202
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52382
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39575
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9689
357.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5482
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6144
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9294
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9279
160.3 IPS |
