Mac16,9
Geekbench AI Score
5651
Single Precision Score
38135
Half Precision Score
50536
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | April 10 2025 04:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2139
397.9 IPS |
|
|
Image Classification (HP)
|
100% |
17744
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23342
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23134
375.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31249
506.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18275
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122799
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230412
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
19764
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24390
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
44719
531.4 IPS |
|
|
Face Detection (Q)
|
100% |
56897
676.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8899
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110679
852.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179895
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26336
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232480
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298384
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46797
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82343
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
7108
9.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17061
293.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17252
298.1 IPS |
