MacBook Pro (14-inch, 2021)
Geekbench AI Score
3715
Single Precision Score
16275
Half Precision Score
16230
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 01:31 PM |
| Views | 59 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
6670
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9626
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10278
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69755
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65758
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7898
628.2 IPS |
|
|
Object Detection (Q)
|
91% |
7386
590.1 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
15764
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
14821
176.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50737
390.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53228
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22215
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121022
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116032
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25833
953.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27871
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
