Mac16,9
Geekbench AI Score
6043
Single Precision Score
36820
Half Precision Score
49322
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dtb |
| Upload Date | November 16 2025 10:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (HP)
|
100% |
17051
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
20824
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23055
373.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31068
503.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18521
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122230
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230920
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
19479
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23732
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
44175
524.9 IPS |
|
|
Face Detection (Q)
|
100% |
62889
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108669
837.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175744
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31761
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232690
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
317654
409.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48474
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76969
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6725
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16063
276.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15949
275.6 IPS |
