Mac16,9
Geekbench AI Score
6013
Single Precision Score
9492
Half Precision Score
7269
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeysonAlvarenga |
| Upload Date | October 23 2025 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18275
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34591
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26562
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2734
216.9 IPS |
|
|
Object Detection (HP)
|
97% |
3959
315.2 IPS |
|
|
Object Detection (Q)
|
94% |
2797
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8762
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
4890
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9042
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15487
119.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9833
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31151
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58096
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
44053
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7081
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9250
341.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5482
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6665
114.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9866
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9902
171.1 IPS |
