MacBook Pro (14-inch, 2021)
Geekbench AI Score
3616
Single Precision Score
15826
Half Precision Score
15169
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:43 PM |
| Views | 10 |
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 | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5986
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5696
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9760
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10486
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67584
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
62340
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
6977
555.0 IPS |
|
|
Object Detection (Q)
|
91% |
6543
522.8 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
12945
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
12201
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44498
342.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48863
381.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22246
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
115278
148.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108478
140.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24429
902.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25428
938.9 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3011
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5542
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4164
72.0 IPS |
