Mac16,5
Geekbench AI Score
5896
Single Precision Score
38008
Half Precision Score
51270
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ootoo |
| Upload Date | November 11 2024 08:20 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.27 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2150
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
18519
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
23307
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23975
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32676
529.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18580
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
125267
146.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
235991
276.6 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
21421
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
26425
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
42485
504.8 IPS |
|
|
Face Detection (Q)
|
100% |
62358
740.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8717
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
115670
891.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
188018
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
36414
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235456
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
291549
376.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7181
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47827
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81599
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5600
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6146
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17043
293.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16972
293.3 IPS |
