Mac16,9
Geekbench AI Score
6053
Single Precision Score
9567
Half Precision Score
7295
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Dachaz |
| Upload Date | September 17 2025 08:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.8 IPS |
|
|
Image Classification (Q)
|
96% |
2162
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3472
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3999
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18449
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34699
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27269
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
97% |
3972
316.2 IPS |
|
|
Object Detection (Q)
|
94% |
2800
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
8857
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
4912
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15670
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31656
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58523
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44168
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9651
356.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5445
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5813
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6784
116.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9808
169.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9900
171.1 IPS |
