Mac16,9
Geekbench AI Score
19609
Single Precision Score
21872
Half Precision Score
19693
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 12 2025 08:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9853
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
10299
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
8714
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17011
275.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18191
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18832
305.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
81001
94.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84219
98.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
79364
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
9013
714.9 IPS |
|
|
Object Detection (HP)
|
100% |
9934
787.9 IPS |
|
|
Object Detection (Q)
|
91% |
8396
670.9 IPS |
|
|
Face Detection (SP)
|
100% |
34480
409.7 IPS |
|
|
Face Detection (HP)
|
100% |
37120
441.1 IPS |
|
|
Face Detection (Q)
|
100% |
29144
346.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
42879
330.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45113
347.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38114
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
188181
241.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205251
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193226
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27464
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28827
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23230
857.8 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3002
51.9 IPS |
