MacBook Pro (14-inch, 2021)
Geekbench AI Score
3719
Single Precision Score
15685
Half Precision Score
15692
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 20 2024 10:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
6408
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9417
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10068
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11183
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70046
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65671
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
7485
595.4 IPS |
|
|
Object Detection (Q)
|
91% |
7163
572.4 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
14573
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
13882
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49598
382.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
52306
408.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22294
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119477
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116101
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25792
952.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28060
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3319
57.4 IPS |
