Mac16,5
Geekbench AI Score
5810
Single Precision Score
38527
Half Precision Score
51244
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 06:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.73 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
18615
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24168
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23808
385.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33178
537.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18196
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
125195
146.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231760
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
21744
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
26005
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
42971
510.6 IPS |
|
|
Face Detection (Q)
|
100% |
64251
763.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113876
877.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
186173
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
36922
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235176
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301711
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47633
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83529
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5967
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16663
287.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16467
284.6 IPS |
