Mac16,9
Geekbench AI Score
5939
Single Precision Score
37237
Half Precision Score
50903
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 11:53 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
17452
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22588
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22837
370.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31840
516.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19057
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
124200
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
235207
275.7 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
21878
1.74 KIPS |
|
|
Object Detection (Q)
|
91% |
27017
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
43006
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
59839
711.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8937
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110162
848.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179613
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37208
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233705
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298637
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7191
265.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46155
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79639
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6049
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16274
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16142
279.0 IPS |
