MacBook Pro (14-inch, 2021)
Geekbench AI Score
1709
Single Precision Score
11701
Half Precision Score
12043
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 17 2024 07:54 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
783
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
6314
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6527
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8732
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67300
78.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64785
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (HP)
|
99% |
6739
536.1 IPS |
|
|
Object Detection (Q)
|
93% |
6573
524.4 IPS |
|
|
Face Detection (SP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
10375
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
10461
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2938
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43256
333.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
46398
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10155
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
113483
145.9 IPS |
|
|
Style Transfer (Q)
|
100% |
119106
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17831
658.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21660
802.5 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.8 IPS |
|
|
Text Classification (HP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2804
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1771
30.6 IPS |
