Mac16,6
Geekbench AI Score
19639
Single Precision Score
21892
Half Precision Score
16817
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cletsinger |
| Upload Date | March 20 2025 04:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
9444
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9935
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
9906
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17099
277.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18266
296.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
18250
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
80974
94.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84602
98.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
76830
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
8806
698.5 IPS |
|
|
Object Detection (HP)
|
100% |
9870
782.9 IPS |
|
|
Object Detection (Q)
|
91% |
8175
653.3 IPS |
|
|
Face Detection (SP)
|
100% |
34815
413.7 IPS |
|
|
Face Detection (HP)
|
100% |
35315
419.6 IPS |
|
|
Face Detection (Q)
|
100% |
26174
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43203
332.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45622
351.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
7544
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
187382
240.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205237
263.8 IPS |
|
|
Style Transfer (Q)
|
100% |
205814
264.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26675
985.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28153
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
22029
816.1 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3383
58.5 IPS |
