Mac16,9
Geekbench AI Score
23589
Single Precision Score
26268
Half Precision Score
23763
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KipR |
| Upload Date | October 15 2025 09:36 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10485
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10630
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
9576
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23813
386.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24251
393.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23123
374.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
101980
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
111106
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
107573
126.0 IPS |
|
|
Object Detection (SP)
|
100% |
9266
735.0 IPS |
|
|
Object Detection (HP)
|
100% |
10117
802.5 IPS |
|
|
Object Detection (Q)
|
92% |
9374
748.2 IPS |
|
|
Face Detection (SP)
|
100% |
40948
486.5 IPS |
|
|
Face Detection (HP)
|
100% |
44388
527.4 IPS |
|
|
Face Detection (Q)
|
100% |
36269
431.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44819
345.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47736
367.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
43590
340.5 IPS |
|
|
Style Transfer (SP)
|
100% |
218409
280.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236033
303.4 IPS |
|
|
Style Transfer (Q)
|
96% |
229667
296.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29974
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30931
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26499
978.5 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5723
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5791
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6098
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4715
81.5 IPS |
