MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3118
Single Precision Score
14660
Half Precision Score
14751
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 08 2025 05:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
6060
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6089
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7918
128.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
7864
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5829
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
67063
78.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
65734
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
6545
520.6 IPS |
|
|
Object Detection (Q)
|
91% |
6763
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12553
149.2 IPS |
|
|
Face Detection (Q)
|
100% |
13570
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44242
340.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
47611
368.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16677
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118375
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123750
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23721
875.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24008
889.5 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3073
53.1 IPS |
