MacBook Pro (14-inch, 2021)
Geekbench AI Score
3734
Single Precision Score
15829
Half Precision Score
15787
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | relms |
| Upload Date | January 05 2025 09:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
6380
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6193
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9440
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10058
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11371
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69910
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65248
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7401
588.7 IPS |
|
|
Object Detection (Q)
|
91% |
7129
569.7 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
15001
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
13915
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49718
383.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52299
408.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22206
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119634
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116168
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25674
948.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27529
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2221
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3864
66.8 IPS |
