Mac16,8
Geekbench AI Score
5725
Single Precision Score
36643
Half Precision Score
49692
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 07 2024 11:29 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17990
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22296
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22787
369.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32272
523.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18943
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123077
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230712
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
20517
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24111
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44563
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
62278
740.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
106201
818.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180133
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35279
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235658
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303153
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46079
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79407
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16394
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16966
293.2 IPS |
