Mac16,9
Geekbench AI Score
21354
Single Precision Score
23834
Half Precision Score
22195
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | September 13 2025 10:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
9831
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
10106
1.88 KIPS |
|
|
Image Classification (Q)
|
96% |
8947
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20279
328.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21309
345.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20243
328.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
80021
93.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
84946
99.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
83552
97.9 IPS |
|
|
Object Detection (SP)
|
100% |
8536
677.1 IPS |
|
|
Object Detection (HP)
|
100% |
9868
782.8 IPS |
|
|
Object Detection (Q)
|
92% |
8939
713.5 IPS |
|
|
Face Detection (SP)
|
100% |
35386
420.5 IPS |
|
|
Face Detection (HP)
|
100% |
36996
439.6 IPS |
|
|
Face Detection (Q)
|
100% |
33237
394.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43080
331.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45106
347.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
41112
321.1 IPS |
|
|
Style Transfer (SP)
|
100% |
185852
238.9 IPS |
|
|
Style Transfer (HP)
|
100% |
198748
255.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192325
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27494
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27477
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23544
869.4 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6437
111.2 IPS |
