Mac16,6
Geekbench AI Score
5968
Single Precision Score
9211
Half Precision Score
7035
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 04:58 AM |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2150
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
3144
584.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19302
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32723
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25056
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3886
309.3 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8088
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4661
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14758
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10491
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36958
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53645
69.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40077
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7295
269.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9862
364.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5373
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5358
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6021
103.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8992
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8921
154.2 IPS |
