Mac16,5
Geekbench AI Score
5970
Single Precision Score
9156
Half Precision Score
7058
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | critters |
| Upload Date | November 21 2024 05:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,5 |
| 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% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
3080
572.8 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3621
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3974
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19271
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31802
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24713
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8063
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4723
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14975
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10479
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36799
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53045
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40034
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9587
354.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5364
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5367
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9114
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9161
158.3 IPS |
