Mac16,9
Geekbench AI Score
5642
Single Precision Score
9389
Half Precision Score
7218
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SurgeArrest |
| Upload Date | August 04 2025 06:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3095
575.6 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18268
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33420
39.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25859
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
3899
310.4 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
5004
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8436
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4805
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8902
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15477
119.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10804
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26208
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55009
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
41777
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10167
375.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5777
213.3 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6518
112.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9494
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9494
164.1 IPS |
