MacBook Pro (14-inch, 2021)
Geekbench AI Score
3751
Single Precision Score
16264
Half Precision Score
16256
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | March 10 2025 02:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
6843
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6551
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9623
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10333
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11117
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69921
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65742
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7899
628.3 IPS |
|
|
Object Detection (Q)
|
91% |
7580
605.7 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
15625
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
14740
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5908
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50842
391.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53270
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22334
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119819
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115968
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25723
949.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27942
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
