MacBook Pro (14-inch, 2021)
Geekbench AI Score
3667
Single Precision Score
16457
Half Precision Score
16398
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 07:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6975
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6695
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10411
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70169
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66395
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
8051
640.4 IPS |
|
|
Object Detection (Q)
|
91% |
7577
605.4 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14941
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50843
391.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53747
420.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22075
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121169
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115607
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4359
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25941
957.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28213
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3851
66.6 IPS |
