MacBook Pro (14-inch, 2021)
Geekbench AI Score
3730
Single Precision Score
16214
Half Precision Score
15925
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | November 19 2024 07:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
6982
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6667
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9535
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10400
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11095
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70608
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67610
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7976
634.5 IPS |
|
|
Object Detection (Q)
|
91% |
7458
596.0 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
13094
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51915
400.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53368
417.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22396
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121504
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117535
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4459
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26110
964.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28376
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3373
58.3 IPS |
