Mac16,9
Geekbench AI Score
5515
Single Precision Score
38197
Half Precision Score
52421
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cgraff |
| Upload Date | April 02 2025 02:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.38 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
18502
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24186
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23095
374.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33217
538.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17862
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123281
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232009
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
20709
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25217
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
44936
533.9 IPS |
|
|
Face Detection (Q)
|
100% |
65961
783.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8647
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111849
861.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
183023
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
26303
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232583
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
308644
398.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46863
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81828
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6075
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17180
295.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17505
302.5 IPS |
