Mac16,9
Geekbench AI Score
23427
Single Precision Score
26035
Half Precision Score
24082
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | July 06 2025 05:38 AM |
| Views | 9 |
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% |
10291
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10372
1.93 KIPS |
|
|
Image Classification (Q)
|
96% |
9436
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22984
372.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23794
385.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22892
371.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
105877
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
107923
125.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
105336
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
8599
682.1 IPS |
|
|
Object Detection (HP)
|
100% |
10083
799.8 IPS |
|
|
Object Detection (Q)
|
92% |
9319
743.8 IPS |
|
|
Face Detection (SP)
|
100% |
39331
467.3 IPS |
|
|
Face Detection (HP)
|
100% |
41150
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
31521
374.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44677
344.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47144
363.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
43496
339.7 IPS |
|
|
Style Transfer (SP)
|
100% |
218813
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231926
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
223795
288.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31095
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31855
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28041
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6398
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6505
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6616
114.3 IPS |
