Mac16,9
Geekbench AI Score
20731
Single Precision Score
23521
Half Precision Score
21352
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 05:28 AM |
| Views | 4 |
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% |
9442
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
10085
1.88 KIPS |
|
|
Image Classification (Q)
|
96% |
8970
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19584
317.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20690
335.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20120
326.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77202
90.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87564
102.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
84455
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8667
687.4 IPS |
|
|
Object Detection (HP)
|
100% |
9530
755.9 IPS |
|
|
Object Detection (Q)
|
92% |
8742
697.8 IPS |
|
|
Face Detection (SP)
|
100% |
34877
414.4 IPS |
|
|
Face Detection (HP)
|
100% |
38224
454.2 IPS |
|
|
Face Detection (Q)
|
100% |
31943
379.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42040
323.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44300
341.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
40493
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
187401
240.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200056
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196860
254.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25636
946.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26881
992.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22914
846.1 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5885
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4569
79.0 IPS |
