Mac16,5
Geekbench AI Score
5954
Single Precision Score
9224
Half Precision Score
7687
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:52 PM |
| Views | 3 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.8 IPS |
|
|
Image Classification (Q)
|
99% |
3089
576.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3761
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19303
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32366
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
24022
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3923
312.3 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8024
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9056
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14684
113.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
14712
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36752
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51352
66.0 IPS |
|
|
Style Transfer (Q)
|
100% |
52523
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9918
366.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5372
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9074
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9053
156.5 IPS |
