MacBook Pro (14-inch, 2021)
Geekbench AI Score
3602
Single Precision Score
15871
Half Precision Score
15730
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:49 PM |
| Views | 4 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
5919
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5771
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9208
149.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9816
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10573
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68013
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61635
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7163
569.8 IPS |
|
|
Object Detection (Q)
|
91% |
6543
522.8 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
13198
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
12412
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44854
345.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46175
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22058
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115057
147.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110137
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4091
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24461
903.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25769
951.5 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4121
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5564
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6006
103.8 IPS |
