Mac16,9
Geekbench AI Score
5978
Single Precision Score
31545
Half Precision Score
38643
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | March 14 2025 11:59 AM |
| Views | 18 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
17729
3.30 KIPS |
|
|
Image Classification (Q)
|
99% |
17054
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17003
275.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17044
276.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19302
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118165
137.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
221933
260.3 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
17399
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
22690
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
26953
320.3 IPS |
|
|
Face Detection (Q)
|
100% |
45122
536.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87440
673.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
93169
720.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37413
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169142
217.4 IPS |
|
|
Style Transfer (Q)
|
100% |
168645
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7253
267.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44757
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
74536
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16271
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16128
278.7 IPS |
