Mac16,5
Geekbench AI Score
6001
Single Precision Score
37053
Half Precision Score
50046
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
17581
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
22898
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22709
368.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31302
507.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19323
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122998
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231018
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
19591
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23701
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
44650
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
64283
763.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110119
848.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177978
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37001
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231031
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296971
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46719
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79513
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5568
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16933
291.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16696
288.5 IPS |
