MacBook Pro (16-inch, 2021)
Geekbench AI Score
12165
Single Precision Score
13771
Half Precision Score
12732
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Niiiko |
| Upload Date | February 05 2026 09:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5124
952.9 IPS |
|
|
Image Classification (HP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (Q)
|
96% |
4781
892.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11802
191.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12218
198.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11542
187.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57051
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62241
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59551
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (HP)
|
100% |
5364
425.4 IPS |
|
|
Object Detection (Q)
|
92% |
4923
393.0 IPS |
|
|
Face Detection (SP)
|
100% |
21510
255.6 IPS |
|
|
Face Detection (HP)
|
100% |
22513
267.5 IPS |
|
|
Face Detection (Q)
|
100% |
19309
229.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26227
202.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28445
219.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
25722
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96556
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121718
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118501
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16956
626.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17601
649.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15612
576.5 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1804
31.2 IPS |
