Mac16,9
Geekbench AI Score
5957
Single Precision Score
36094
Half Precision Score
48698
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 13 2025 09:35 AM |
| Views | 3 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
16432
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21079
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22614
366.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31011
502.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19294
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123062
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229358
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
18721
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
23172
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
44110
524.1 IPS |
|
|
Face Detection (Q)
|
100% |
63532
754.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109096
840.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174855
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
36418
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232810
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297363
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44829
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75735
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6164
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16013
275.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16082
277.9 IPS |
