MacBook Pro (16-inch, 2021)
Geekbench AI Score
3675
Single Precision Score
16509
Half Precision Score
16209
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7031
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6694
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9679
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11098
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70209
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65806
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
7971
634.1 IPS |
|
|
Object Detection (Q)
|
91% |
7563
604.3 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
13230
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51728
398.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53770
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121530
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115661
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26021
960.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28402
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3812
65.9 IPS |
