Mac16,9
Geekbench AI Score
5812
Single Precision Score
9456
Half Precision Score
7073
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 24 2026 04:26 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 4.27 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
3133
582.5 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3877
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17991
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34072
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26683
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
97% |
3954
314.8 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.1 IPS |
|
|
Face Detection (SP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
8327
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4621
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14600
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9749
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30788
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57968
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
42024
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7097
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9735
359.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4810
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9832
169.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9843
170.1 IPS |
