Mac16,6
Geekbench AI Score
21388
Single Precision Score
24052
Half Precision Score
22519
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 12:42 PM |
| 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 | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
9916
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10179
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9139
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19871
322.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21172
343.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20605
334.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
77503
90.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87871
102.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
85253
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
8818
699.4 IPS |
|
|
Object Detection (HP)
|
100% |
9262
734.7 IPS |
|
|
Object Detection (Q)
|
92% |
9124
728.3 IPS |
|
|
Face Detection (SP)
|
100% |
35339
419.9 IPS |
|
|
Face Detection (HP)
|
100% |
38806
461.1 IPS |
|
|
Face Detection (Q)
|
100% |
32657
388.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43406
334.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45278
348.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
40749
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
182542
234.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202258
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198732
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26419
975.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27479
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23406
864.3 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6636
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6534
112.9 IPS |
