Mac16,9
Geekbench AI Score
20034
Single Precision Score
22381
Half Precision Score
20685
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | April 17 2025 01:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9042
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
9491
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
8694
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19689
319.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20814
337.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19989
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
79355
92.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
84907
99.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
82837
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
8195
650.0 IPS |
|
|
Object Detection (HP)
|
100% |
9120
723.4 IPS |
|
|
Object Detection (Q)
|
92% |
8270
660.1 IPS |
|
|
Face Detection (SP)
|
100% |
34229
406.7 IPS |
|
|
Face Detection (HP)
|
100% |
35948
427.1 IPS |
|
|
Face Detection (Q)
|
100% |
32013
380.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41809
322.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44576
343.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
39906
311.7 IPS |
|
|
Style Transfer (SP)
|
100% |
183576
236.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199019
255.8 IPS |
|
|
Style Transfer (Q)
|
96% |
190656
246.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25495
941.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25740
950.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22837
843.3 IPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5254
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5213
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4155
71.8 IPS |
