Mac16,9
Geekbench AI Score
5531
Single Precision Score
34979
Half Precision Score
47618
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 13 2025 09:24 AM |
| Views | 4 |
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 | 3.62 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
16242
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21237
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22051
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30463
493.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17079
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
119564
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
223906
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18332
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
22754
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
43215
513.5 IPS |
|
|
Face Detection (Q)
|
100% |
62038
737.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101950
785.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170379
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
34032
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228997
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
290436
374.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6739
248.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44007
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74193
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5159
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5242
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5794
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15253
262.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15232
263.2 IPS |
