MacBook Pro (16-inch, 2021)
Geekbench AI Score
3653
Single Precision Score
16381
Half Precision Score
16308
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | November 25 2025 04:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
6929
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6673
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9620
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10297
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11062
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70649
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67148
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
7948
632.3 IPS |
|
|
Object Detection (Q)
|
91% |
7471
597.0 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
15464
183.7 IPS |
|
|
Face Detection (Q)
|
100% |
14537
172.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51311
395.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
52875
413.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22006
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121407
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116139
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4251
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25897
956.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28575
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3778
65.3 IPS |
