Mac16,6
Geekbench AI Score
5942
Single Precision Score
37011
Half Precision Score
49696
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2203
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
17766
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
21259
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23368
378.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31199
505.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17861
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122560
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
234094
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
20144
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24395
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
5034
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
43674
518.9 IPS |
|
|
Face Detection (Q)
|
100% |
61757
733.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8989
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105640
813.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177799
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30991
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233547
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
314661
406.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7178
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48458
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77862
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6546
112.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15945
274.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15974
276.1 IPS |
