MacBook Pro (14-inch, 2021)
Geekbench AI Score
7779
Single Precision Score
8536
Half Precision Score
7392
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3769
700.8 IPS |
|
|
Image Classification (HP)
|
100% |
3830
712.2 IPS |
|
|
Image Classification (Q)
|
97% |
3226
602.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5870
95.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5815
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29874
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31261
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29059
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.0 IPS |
|
|
Object Detection (Q)
|
91% |
3267
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
13133
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
13664
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
9685
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17411
134.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17969
138.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14823
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50071
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58893
75.7 IPS |
|
|
Style Transfer (Q)
|
96% |
54995
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10577
390.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10994
406.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8621
318.3 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
