MacBook Pro (14-inch, 2021)
Geekbench AI Score
3756
Single Precision Score
14910
Half Precision Score
14819
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | carlos.sancineto |
| Upload Date | September 17 2024 03:00 PM |
| Views | 2 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6827
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6623
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6436
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6759
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11294
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70733
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66600
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
7943
631.8 IPS |
|
|
Object Detection (Q)
|
91% |
7466
596.5 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
15929
189.3 IPS |
|
|
Face Detection (Q)
|
100% |
15036
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5966
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51088
393.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53494
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22203
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120145
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115840
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26063
962.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28008
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2186
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2172
37.5 IPS |
