MacBook Pro (14-inch, 2021)
Geekbench AI Score
3644
Single Precision Score
16358
Half Precision Score
16321
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | September 06 2025 10:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
7019
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6680
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9627
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10431
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70554
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66950
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
7958
633.0 IPS |
|
|
Object Detection (Q)
|
91% |
7504
599.6 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
15531
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
14468
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51817
399.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53481
417.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21798
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119678
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115782
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26141
965.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28254
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3821
66.0 IPS |
