MacBook Pro (14-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
16135
Half Precision Score
16057
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
6560
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6278
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10365
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71557
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67857
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7741
615.8 IPS |
|
|
Object Detection (Q)
|
91% |
7201
575.4 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
14448
171.7 IPS |
|
|
Face Detection (Q)
|
100% |
14277
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51950
400.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
51891
405.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21634
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121550
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117336
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25788
952.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27902
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3805
65.8 IPS |
