MacBook Pro (16-inch, 2021)
Geekbench AI Score
8516
Single Precision Score
9403
Half Precision Score
8874
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 12:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4045
752.2 IPS |
|
|
Image Classification (HP)
|
100% |
4051
753.3 IPS |
|
|
Image Classification (Q)
|
96% |
3807
711.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7269
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7421
120.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7077
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32745
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
36081
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34663
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3969
314.8 IPS |
|
|
Object Detection (HP)
|
100% |
4035
320.0 IPS |
|
|
Object Detection (Q)
|
92% |
3807
303.9 IPS |
|
|
Face Detection (SP)
|
100% |
13735
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
14580
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
12635
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19731
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18915
145.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17404
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53916
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64530
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63346
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10595
391.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11558
426.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9895
365.4 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1552
26.8 IPS |
