Mac16,9
Geekbench AI Score
5526
Single Precision Score
38079
Half Precision Score
52857
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 20 2025 07:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.13 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
17961
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24930
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24157
391.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34144
553.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17631
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
119835
139.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228084
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
21184
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
24960
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
44760
531.8 IPS |
|
|
Face Detection (Q)
|
100% |
66146
786.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8651
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110924
854.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179567
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
28010
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235055
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
308766
398.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6361
234.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47360
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84704
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6342
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6292
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5906
101.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16606
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17975
310.6 IPS |
