Mac16,9
Geekbench AI Score
5996
Single Precision Score
36422
Half Precision Score
49464
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 12:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
16840
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21841
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2606
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22682
367.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31243
506.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19284
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123166
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229526
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
100% |
19242
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23178
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
45141
536.4 IPS |
|
|
Face Detection (Q)
|
100% |
62859
746.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109543
844.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177506
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
36794
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233226
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298039
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45534
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76738
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16405
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16276
281.3 IPS |
