Mac16,9
Geekbench AI Score
22319
Single Precision Score
24611
Half Precision Score
22330
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Joey66 |
| Upload Date | March 30 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10467
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10434
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
8639
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19852
321.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20632
334.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21792
353.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
108208
126.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
110758
129.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104779
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
9774
775.3 IPS |
|
|
Object Detection (HP)
|
100% |
10482
831.4 IPS |
|
|
Object Detection (Q)
|
91% |
9352
747.3 IPS |
|
|
Face Detection (SP)
|
100% |
40950
486.6 IPS |
|
|
Face Detection (HP)
|
100% |
43142
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
33273
395.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46648
359.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49784
383.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42446
331.7 IPS |
|
|
Style Transfer (SP)
|
100% |
222836
286.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239361
307.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220269
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31035
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33351
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28110
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5426
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3503
60.5 IPS |
