Mac16,9
Geekbench AI Score
5970
Single Precision Score
37013
Half Precision Score
49186
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 12 2025 08:57 PM |
| Views | 9 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
16387
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22225
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2601
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22447
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31172
505.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19347
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123576
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230358
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
100% |
20321
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
25842
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44736
531.6 IPS |
|
|
Face Detection (Q)
|
100% |
60442
718.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9026
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
113361
873.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178299
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35900
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231825
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297104
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7262
268.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45929
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77737
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4842
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6104
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16698
287.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16675
288.2 IPS |
