Mac16,9
Geekbench AI Score
6043
Single Precision Score
9669
Half Precision Score
7329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 12:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2204
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
3136
583.2 IPS |
|
|
Image Classification (Q)
|
96% |
2223
415.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18487
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34942
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27347
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.4 IPS |
|
|
Object Detection (HP)
|
97% |
3960
315.3 IPS |
|
|
Object Detection (Q)
|
94% |
2809
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8875
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
4915
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15666
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9868
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31599
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58800
75.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44323
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9826
362.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6676
115.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9744
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9746
168.4 IPS |
