Mac16,9
Geekbench AI Score
5530
Single Precision Score
34982
Half Precision Score
47685
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 13 2025 09:33 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
16434
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
20642
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22016
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30317
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17200
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119526
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
222582
260.9 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18261
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
23582
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
42721
507.6 IPS |
|
|
Face Detection (Q)
|
100% |
61291
728.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101400
781.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171662
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
34381
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229173
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
292443
377.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44061
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73854
2.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15333
264.1 IPS |
|
|
Machine Translation (Q)
|
98% |
15346
265.2 IPS |
