MacBook Pro (14-inch, 2021)
Geekbench AI Score
3681
Single Precision Score
5693
Half Precision Score
4677
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
96% |
1473
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10610
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22096
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17380
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2310
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10913
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7250
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21978
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34474
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26952
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6157
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3933
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3232
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4725
81.7 IPS |
