MacBook Pro (16-inch, 2021)
Geekbench AI Score
3739
Single Precision Score
16364
Half Precision Score
16374
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
6723
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6670
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10241
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69917
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66719
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7900
628.4 IPS |
|
|
Object Detection (Q)
|
91% |
7430
593.7 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16225
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
15144
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51085
393.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54127
423.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22557
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120356
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116222
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25950
958.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28056
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3843
66.4 IPS |
