MacBook Pro (14-inch, 2021)
Geekbench AI Score
3531
Single Precision Score
15133
Half Precision Score
16102
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ultratomcat |
| Upload Date | March 22 2025 05:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.14 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
3150
585.8 IPS |
|
|
Image Classification (Q)
|
96% |
6284
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9610
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10342
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10622
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
71463
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67597
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
7953
632.6 IPS |
|
|
Object Detection (Q)
|
91% |
7475
597.3 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
15374
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
14269
169.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51899
399.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54094
422.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21817
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122183
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116404
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4293
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25881
955.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27320
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3764
65.0 IPS |
