Mac16,5
Geekbench AI Score
5924
Single Precision Score
37108
Half Precision Score
50583
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
17679
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
23003
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2600
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22764
369.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31550
511.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19137
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123233
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231614
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
19724
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24516
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
44654
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
61828
734.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8920
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110686
852.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179491
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35981
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233496
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296434
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45876
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79159
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5740
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6162
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16657
286.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16586
286.6 IPS |
