MacBook Pro (14-inch, 2021)
Geekbench AI Score
3495
Single Precision Score
5668
Half Precision Score
4533
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 02 2025 08:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.17 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2515
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10590
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21199
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16511
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2234
177.9 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
2968
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9859
76.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6774
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21177
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32208
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26199
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3958
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4703
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
