MacBook Pro (14-inch, 2021)
Geekbench AI Score
10517
Single Precision Score
11946
Half Precision Score
10856
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
4469
831.1 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.2 IPS |
|
|
Image Classification (Q)
|
96% |
4319
806.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10052
162.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10000
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9440
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47453
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
51077
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
48809
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
4858
385.3 IPS |
|
|
Object Detection (Q)
|
92% |
4509
360.0 IPS |
|
|
Face Detection (SP)
|
100% |
18404
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
19197
228.1 IPS |
|
|
Face Detection (Q)
|
100% |
15087
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23513
181.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24573
189.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
22230
173.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78098
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95159
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
93019
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15366
567.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16316
602.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14260
526.6 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1520
26.3 IPS |
