MacBook Pro (14-inch, 2021)
Geekbench AI Score
8694
Single Precision Score
9643
Half Precision Score
8479
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 01 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4159
773.4 IPS |
|
|
Image Classification (HP)
|
100% |
4310
801.4 IPS |
|
|
Image Classification (Q)
|
97% |
3649
681.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6443
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6590
106.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6532
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32977
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35122
41.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
32613
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4098
325.1 IPS |
|
|
Object Detection (HP)
|
100% |
4236
336.0 IPS |
|
|
Object Detection (Q)
|
91% |
3597
287.4 IPS |
|
|
Face Detection (SP)
|
100% |
14296
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
15274
181.5 IPS |
|
|
Face Detection (Q)
|
100% |
10322
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20477
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21544
166.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
18222
142.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54189
69.7 IPS |
|
|
Style Transfer (HP)
|
100% |
64182
82.5 IPS |
|
|
Style Transfer (Q)
|
96% |
60441
78.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11162
412.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11832
436.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9255
341.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1643
28.4 IPS |
