MacBook Pro (16-inch, 2021)
Geekbench AI Score
3735
Single Precision Score
15256
Half Precision Score
15768
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | February 08 2025 03:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
6870
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7276
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8067
130.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
8086
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11132
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69018
80.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65721
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
7280
579.1 IPS |
|
|
Object Detection (Q)
|
91% |
7381
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
11938
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
13312
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45442
350.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
48725
376.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22370
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116940
150.3 IPS |
|
|
Style Transfer (Q)
|
100% |
122317
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26286
970.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27532
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
