MacBook Pro (16-inch, 2021)
Geekbench AI Score
10531
Single Precision Score
12376
Half Precision Score
11329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 04:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4804
893.4 IPS |
|
|
Image Classification (HP)
|
100% |
4571
850.0 IPS |
|
|
Image Classification (Q)
|
96% |
4235
790.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11360
184.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11618
188.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10825
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54799
63.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59068
68.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57290
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
3274
259.7 IPS |
|
|
Object Detection (HP)
|
100% |
4838
383.7 IPS |
|
|
Object Detection (Q)
|
92% |
4614
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
16600
197.2 IPS |
|
|
Face Detection (HP)
|
100% |
20449
243.0 IPS |
|
|
Face Detection (Q)
|
100% |
16845
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24018
185.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21091
162.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
19235
150.2 IPS |
|
|
Style Transfer (SP)
|
100% |
91927
118.2 IPS |
|
|
Style Transfer (HP)
|
100% |
115727
148.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112689
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16025
591.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17028
628.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14449
533.5 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1327
22.9 IPS |
