MacBook Pro (14-inch, 2021)
Geekbench AI Score
3718
Single Precision Score
14908
Half Precision Score
14515
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:51 AM |
| Views | 3 |
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% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
6857
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6638
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6711
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70837
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66975
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
7986
635.3 IPS |
|
|
Object Detection (Q)
|
91% |
7459
596.0 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
15935
189.3 IPS |
|
|
Face Detection (Q)
|
100% |
12603
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51127
393.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53636
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22356
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120567
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115970
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26123
964.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28126
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2135
36.9 IPS |
