Mac16,9
Geekbench AI Score
23892
Single Precision Score
26702
Half Precision Score
25028
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.39 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10763
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10800
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
10478
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23807
385.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24613
399.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23440
380.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
102963
120.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
112137
130.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
107703
126.2 IPS |
|
|
Object Detection (SP)
|
100% |
9352
741.8 IPS |
|
|
Object Detection (HP)
|
100% |
10519
834.4 IPS |
|
|
Object Detection (Q)
|
92% |
9760
779.1 IPS |
|
|
Face Detection (SP)
|
100% |
41011
487.3 IPS |
|
|
Face Detection (HP)
|
100% |
45648
542.4 IPS |
|
|
Face Detection (Q)
|
100% |
37138
441.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44491
342.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47740
367.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
43475
339.6 IPS |
|
|
Style Transfer (SP)
|
100% |
220224
283.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238524
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
231535
298.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30392
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31432
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26511
978.9 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6303
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6400
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6771
117.0 IPS |
