MacBook Pro (14-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
15001
Half Precision Score
14852
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | maxcb |
| Upload Date | September 23 2024 11:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.17 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
6946
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6627
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6466
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6768
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11095
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71625
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
68156
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7989
635.5 IPS |
|
|
Object Detection (Q)
|
91% |
7449
595.2 IPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16116
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
15253
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5924
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51798
399.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53651
419.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22266
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120894
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117195
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26055
962.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28189
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2145
37.1 IPS |
