Mac16,9
Geekbench AI Score
5596
Single Precision Score
36426
Half Precision Score
48965
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
17061
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22220
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22816
369.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31056
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18121
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122600
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229502
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
19049
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23214
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
45299
538.3 IPS |
|
|
Face Detection (Q)
|
100% |
56585
672.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8880
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105324
811.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176757
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25809
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232296
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299663
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45442
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77090
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5453
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16473
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17110
295.7 IPS |
