Mac16,6
Geekbench AI Score
5946
Single Precision Score
9108
Half Precision Score
7006
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 04:51 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.6 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3686
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19250
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31576
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24817
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8033
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4639
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9057
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14446
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10347
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37147
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52348
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39656
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7213
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9573
353.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5340
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5357
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9112
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9028
156.0 IPS |
