MacBook Pro (14-inch, 2021)
Geekbench AI Score
3732
Single Precision Score
16487
Half Precision Score
16353
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6527
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9671
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10378
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70895
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66040
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
7976
634.4 IPS |
|
|
Object Detection (Q)
|
91% |
7400
591.3 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16024
190.4 IPS |
|
|
Face Detection (Q)
|
100% |
15238
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51351
395.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54413
425.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22245
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120855
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116317
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26359
973.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27762
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3853
66.6 IPS |
