Mac16,9
Geekbench AI Score
21300
Single Precision Score
23795
Half Precision Score
22358
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 15 2025 01:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
9638
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9803
1.82 KIPS |
|
|
Image Classification (Q)
|
96% |
8863
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19973
323.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20536
332.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20626
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
77266
90.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87762
102.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
85579
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
8710
690.9 IPS |
|
|
Object Detection (HP)
|
100% |
9416
746.9 IPS |
|
|
Object Detection (Q)
|
92% |
8785
701.3 IPS |
|
|
Face Detection (SP)
|
100% |
34768
413.1 IPS |
|
|
Face Detection (HP)
|
100% |
38347
455.6 IPS |
|
|
Face Detection (Q)
|
100% |
31513
374.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43734
336.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45175
348.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
41592
324.9 IPS |
|
|
Style Transfer (SP)
|
100% |
183577
236.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200927
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
198187
255.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26175
966.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27081
1000.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23358
862.5 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6251
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6635
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.7 IPS |
