MacBook Pro (14-inch, 2021)
Geekbench AI Score
3472
Single Precision Score
12937
Half Precision Score
12948
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
6521
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6179
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9384
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9647
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11121
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70344
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66650
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
7421
590.3 IPS |
|
|
Object Detection (Q)
|
91% |
7024
561.3 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
12966
154.1 IPS |
|
|
Face Detection (Q)
|
100% |
12985
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49694
382.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
49990
390.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18736
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52786
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
53626
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3952
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12085
446.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12301
454.2 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3028
52.3 IPS |
