MacBook Pro (16-inch, 2021)
Geekbench AI Score
3696
Single Precision Score
16511
Half Precision Score
16424
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | August 24 2025 07:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G214) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6595
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9768
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70131
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67388
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
7994
635.9 IPS |
|
|
Object Detection (Q)
|
91% |
7506
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16312
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
15152
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51959
400.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53962
421.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21798
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121134
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115998
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25857
954.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27926
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
