MacBook Pro (14-inch, 2021)
Geekbench AI Score
3756
Single Precision Score
15069
Half Precision Score
15589
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | November 10 2024 09:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
6924
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7360
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8100
131.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
8127
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68585
80.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64470
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7326
582.8 IPS |
|
|
Object Detection (Q)
|
91% |
7521
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
11295
134.2 IPS |
|
|
Face Detection (Q)
|
100% |
12836
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45541
350.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
48504
375.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22293
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116437
149.7 IPS |
|
|
Style Transfer (Q)
|
100% |
121563
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25984
959.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27699
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3499
60.5 IPS |
