Mac16,9
Geekbench AI Score
20383
Single Precision Score
22515
Half Precision Score
21447
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cgraff |
| Upload Date | April 02 2025 02:11 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5451
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5934
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5195
970.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
20667
335.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22211
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21368
346.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
103355
120.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
108052
126.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
102828
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
8175
648.4 IPS |
|
|
Object Detection (HP)
|
100% |
8657
686.7 IPS |
|
|
Object Detection (Q)
|
92% |
8015
639.7 IPS |
|
|
Face Detection (SP)
|
100% |
37824
449.4 IPS |
|
|
Face Detection (HP)
|
100% |
37775
448.8 IPS |
|
|
Face Detection (Q)
|
100% |
33497
398.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41787
321.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43248
333.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
41235
322.4 IPS |
|
|
Style Transfer (SP)
|
100% |
214117
275.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226822
291.6 IPS |
|
|
Style Transfer (Q)
|
96% |
224421
289.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26223
968.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26391
974.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25306
934.4 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5344
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5347
92.4 IPS |
