Mac16,5
Geekbench AI Score
5956
Single Precision Score
9133
Half Precision Score
7008
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 07:55 AM |
| Views | 2 |
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% |
2140
398.0 IPS |
|
|
Image Classification (HP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3594
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19110
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32344
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24928
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8139
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4652
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14526
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10236
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36729
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52659
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39661
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7192
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5312
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6077
104.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8968
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9041
156.2 IPS |
