MacBook Pro (14-inch, 2021)
Geekbench AI Score
3683
Single Precision Score
5633
Half Precision Score
4860
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 02:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.2 IPS |
|
|
Image Classification (Q)
|
99% |
2028
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2251
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22501
26.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17110
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2327
185.3 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10443
80.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10681
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34855
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
34770
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6073
224.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3917
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3224
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3262
56.4 IPS |
