Mac16,9
Geekbench AI Score
5652
Single Precision Score
9403
Half Precision Score
7225
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | brigadoon0 |
| Upload Date | October 10 2025 03:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.5 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18412
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33296
38.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25603
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
3905
310.9 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
8450
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4819
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15714
121.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10753
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26548
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54711
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
41615
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10190
376.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5914
218.4 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6392
110.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9430
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
