Mac16,5
Geekbench AI Score
5708
Single Precision Score
36671
Half Precision Score
50054
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 07 2024 04:41 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 4.46 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
17848
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23643
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23072
374.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33056
535.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18792
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123175
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230902
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
20268
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
25031
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
43239
513.8 IPS |
|
|
Face Detection (Q)
|
100% |
60925
723.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8580
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110568
851.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
175550
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35488
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229584
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302434
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6975
257.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46337
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80719
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5668
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15886
273.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15909
274.9 IPS |
