Mac16,9
Geekbench AI Score
23203
Single Precision Score
25785
Half Precision Score
24062
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | May 19 2025 08:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10205
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10194
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9348
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23205
376.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23973
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22822
370.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105961
123.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
107806
125.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104599
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
8783
696.7 IPS |
|
|
Object Detection (HP)
|
100% |
9905
785.6 IPS |
|
|
Object Detection (Q)
|
92% |
9182
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
39415
468.3 IPS |
|
|
Face Detection (HP)
|
100% |
41762
496.2 IPS |
|
|
Face Detection (Q)
|
100% |
35072
416.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44173
340.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47202
363.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43323
338.4 IPS |
|
|
Style Transfer (SP)
|
100% |
220209
283.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233054
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
222057
286.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30012
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31256
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27254
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6328
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6294
108.8 IPS |
