MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3193
Single Precision Score
13553
Half Precision Score
14976
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | March 12 2025 08:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
5527
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8379
135.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
8488
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
60306
70.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65820
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
99% |
6755
537.4 IPS |
|
|
Object Detection (Q)
|
91% |
6840
546.5 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
11780
140.0 IPS |
|
|
Face Detection (Q)
|
100% |
12846
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44072
339.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
48484
374.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16956
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120310
154.7 IPS |
|
|
Style Transfer (Q)
|
100% |
125274
161.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23768
877.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24006
889.4 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3670
63.4 IPS |
