Mac16,9
Geekbench AI Score
21160
Single Precision Score
23391
Half Precision Score
22088
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | June 19 2025 07:15 AM |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9286
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
10017
1.86 KIPS |
|
|
Image Classification (Q)
|
96% |
9159
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20215
327.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21138
342.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19998
324.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81003
94.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84690
98.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
84313
98.8 IPS |
|
|
Object Detection (SP)
|
100% |
9356
742.1 IPS |
|
|
Object Detection (HP)
|
100% |
9524
755.4 IPS |
|
|
Object Detection (Q)
|
92% |
8698
694.3 IPS |
|
|
Face Detection (SP)
|
100% |
34089
405.1 IPS |
|
|
Face Detection (HP)
|
100% |
35164
417.8 IPS |
|
|
Face Detection (Q)
|
100% |
31630
375.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42206
325.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45142
347.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
41419
323.5 IPS |
|
|
Style Transfer (SP)
|
100% |
185887
239.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198983
255.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193706
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26640
983.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26501
978.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23602
871.5 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6074
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6423
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
