Mac16,5
Geekbench AI Score
5956
Single Precision Score
31832
Half Precision Score
39070
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 03 2024 10:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
17804
3.31 KIPS |
|
|
Image Classification (Q)
|
99% |
18318
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17062
276.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17069
276.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19197
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
118516
138.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
223166
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
17017
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
22760
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
26708
317.4 IPS |
|
|
Face Detection (Q)
|
100% |
45873
545.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88940
685.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
90047
696.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37083
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169049
217.3 IPS |
|
|
Style Transfer (Q)
|
100% |
167367
215.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46221
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
78955
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6036
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16567
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16794
290.2 IPS |
