Mac16,9
Geekbench AI Score
21153
Single Precision Score
23548
Half Precision Score
21994
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | matt4824 |
| Upload Date | August 18 2025 10:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9849
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9705
1.80 KIPS |
|
|
Image Classification (Q)
|
96% |
8901
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20102
325.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20917
339.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20156
326.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80142
93.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84765
98.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
83369
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
8444
669.8 IPS |
|
|
Object Detection (HP)
|
100% |
9593
760.9 IPS |
|
|
Object Detection (Q)
|
92% |
8772
700.2 IPS |
|
|
Face Detection (SP)
|
100% |
35149
417.6 IPS |
|
|
Face Detection (HP)
|
100% |
37596
446.7 IPS |
|
|
Face Detection (Q)
|
100% |
32030
380.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42777
329.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44892
345.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
40396
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186004
239.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200757
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193364
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27034
998.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26875
992.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23108
853.3 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6002
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6529
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
