MacBook Pro (14-inch, 2021)
Geekbench AI Score
6704
Single Precision Score
6624
Half Precision Score
5851
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (HP)
|
100% |
3552
660.5 IPS |
|
|
Image Classification (Q)
|
99% |
3079
574.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5678
92.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5467
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29890
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30898
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27492
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (HP)
|
100% |
3730
295.8 IPS |
|
|
Object Detection (Q)
|
92% |
2868
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
12258
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
12645
150.3 IPS |
|
|
Face Detection (Q)
|
100% |
8659
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17090
131.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17389
134.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
17352
134.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49779
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58399
75.1 IPS |
|
|
Style Transfer (Q)
|
100% |
57794
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10644
393.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10993
405.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8240
305.3 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
487
650.2 IPS |
|
|
Text Classification (Q)
|
93% |
484
650.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
