Mac16,9
Geekbench AI Score
6013
Single Precision Score
9553
Half Precision Score
7294
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 04 2025 07:36 AM |
| 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, 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% |
2206
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.5 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3984
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18328
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34789
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
27300
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
3977
316.6 IPS |
|
|
Object Detection (Q)
|
94% |
2809
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
8816
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4902
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15418
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31743
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58750
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44259
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9513
351.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5498
203.0 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6511
112.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9892
170.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9756
168.6 IPS |
