Mac16,9
Geekbench AI Score
6013
Single Precision Score
9479
Half Precision Score
7310
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.5 IPS |
|
|
Image Classification (Q)
|
96% |
2178
406.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18445
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34605
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27202
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
97% |
3953
314.7 IPS |
|
|
Object Detection (Q)
|
94% |
2795
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8846
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
4909
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9041
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15143
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9791
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31671
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58476
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44223
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9696
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5843
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5384
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6641
114.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9717
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9801
169.4 IPS |
