Mac16,5
Geekbench AI Score
5920
Single Precision Score
9086
Half Precision Score
6995
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 22 2024 05:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2146
399.2 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3581
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19232
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31759
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24715
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
97% |
3872
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7911
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4669
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8933
68.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14460
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10418
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36950
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52749
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38808
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9699
358.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5385
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8997
155.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8974
155.1 IPS |
