Mac16,6
Geekbench AI Score
5893
Single Precision Score
37119
Half Precision Score
50810
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
18062
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22833
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23122
374.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31392
508.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18888
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123730
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232181
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
20500
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25093
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
44525
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
62661
744.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8909
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110326
850.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179106
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
36622
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231773
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298512
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7120
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46525
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81272
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16073
276.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16457
284.4 IPS |
