Mac16,6
Geekbench AI Score
21617
Single Precision Score
24264
Half Precision Score
21526
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | neon_sunset |
| Upload Date | September 20 2025 01:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
9895
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10095
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
9996
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19929
323.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20771
336.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
21270
344.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77470
90.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87967
102.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
82128
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
9008
714.5 IPS |
|
|
Object Detection (HP)
|
100% |
9626
763.5 IPS |
|
|
Object Detection (Q)
|
92% |
8949
714.4 IPS |
|
|
Face Detection (SP)
|
100% |
36021
428.0 IPS |
|
|
Face Detection (HP)
|
100% |
40627
482.7 IPS |
|
|
Face Detection (Q)
|
100% |
32861
390.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42960
331.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45598
351.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
22522
174.1 IPS |
|
|
Style Transfer (SP)
|
100% |
185644
238.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204062
262.3 IPS |
|
|
Style Transfer (Q)
|
100% |
204623
263.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26734
987.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27409
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
23393
866.7 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6890
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
