MacBook Pro (14-inch, 2021)
Geekbench AI Score
3692
Single Precision Score
13697
Half Precision Score
14191
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 02:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
6580
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6987
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5855
94.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5904
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11029
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
67893
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64123
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
7230
575.2 IPS |
|
|
Object Detection (Q)
|
91% |
7318
584.7 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
11822
140.5 IPS |
|
|
Face Detection (Q)
|
100% |
13256
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5863
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44863
345.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
48804
377.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22292
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
115970
149.1 IPS |
|
|
Style Transfer (Q)
|
100% |
121801
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25457
940.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26979
999.5 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2128
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2157
37.3 IPS |
