MacBook Pro (14-inch, 2021)
Geekbench AI Score
3615
Single Precision Score
16044
Half Precision Score
15782
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 17 2026 07:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
6106
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5756
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9215
149.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9891
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10402
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
68385
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
61435
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
7075
562.8 IPS |
|
|
Object Detection (Q)
|
91% |
6585
526.2 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
13250
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
12456
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45343
349.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47802
373.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22157
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116433
149.7 IPS |
|
|
Style Transfer (Q)
|
96% |
109333
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4080
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25470
940.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26033
961.3 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3036
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5948
102.8 IPS |
