Mac16,9
Geekbench AI Score
5897
Single Precision Score
37051
Half Precision Score
50613
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeysonAlvarenga |
| Upload Date | October 23 2025 06:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (HP)
|
100% |
17663
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21911
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23245
376.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32765
531.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18075
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122196
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229687
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
20070
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24303
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
44307
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
63998
760.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108216
833.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178981
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30947
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230755
296.6 IPS |
|
|
Style Transfer (Q)
|
96% |
318565
411.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7029
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47811
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82282
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6293
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16312
281.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16754
289.5 IPS |
